Jorge I. Vélez, PhD
Assistant Professor
Department of Industrial Engineering
Universidad del Norte, Barranquilla


About

I am an Assistant Professor at the Department of Industrial Engineering, Universidad del Norte, Barranquilla, Colombia. My research interests include applied analytics, bioinformatics, population genetics and Machine Learning.

I earned a PhD degree in Medical Sciences with emphasis in Genomics and Precision Medicine from the prestigious John Curtin School of Medical Research at the Australian National University under the supervision of Mauricio Arcos-Burgos. Before moving to Australia, I conducted research on statistical genetics and bioinformatics at the National Human Genome Research Institute in Bethesda, MD, USA under the supervision of Max Muenke and Mauricio Arcos-Burgos, within the Medical Genetics Branch.

I have been the Scientific Director of the Alzheimer’s disease (AD) SGR study since October 2022. This initiative is dedicated to unraveling the genetic landscape associated to AD susceptibility, age of onset, and disease progression in individuals from the Atlántico Department.

Please feel free to contact me by email. You can find my CV here.

Students

Current students

MSc

  1. Javier De Moya. MSc in Applied Statistics (with Carlos De Oro), Universidad del Norte, Barranquilla.
  2. Jose Javier Mercado. MSc in Applied Statistics, Universidad del Norte, Barranquilla.
  3. Kelly Carrascal Martínez. MSc in Industrial Engineering, Universidad del Norte, Barranquilla.
  4. Gustavo Sánchez Guerrero. MSc in Data Analytics, Universidad del Norte, Barranquilla.

PhD

  1. Luis Alberto Ávila. PhD student in Civil Engineering (with Vicente Mercado), Universidad del Norte, Barranquilla.
  2. Maria Isabel Arrieta. PhD candidate in Industrial Engineering (with Guisselle García Llinás), Universidad del Norte, Barranquilla.
  3. Carlos M. Ferreira. PhD candidate in Industrial Engineering (with Guisselle García Llinás), Universidad del Norte, Barranquilla.
  4. Lilybeth Martinez Olivares. PhD candidate in Biomedical Sciences (with Oscar Vidal Orjuela), Universidad del Norte, Barranquilla.

Past students

MSc

  1. Kadir Ortega. MSc in Data Analytics, Universidad del Norte, Barranquilla. Thesis: Lectura inteligente del consumo de Gas Natural Domiciliario mediante un Vision Language Model. October 2024.
  2. Juliana Rivera Álvarez. MSc in Civil Engineering (with Carlos Arteta Torrents), Universidad del Norte, Barranquilla. Thesis: Optimization of Sampling Methodology for Seismic Exposure Modelling: Establishing Homogeneous Zones using Machine Learning. September 2024.
  3. Alba Yamile Aponte Vargas. MSc in Data Analytics, Universidad del Norte, Barranquilla. Thesis: Predicción de Transacciones en Bolsa de una Empresa de Generación para una Ventana Móvil de 7 Días. September 2024.
  4. Daniel Bolívar Pimiento. MSc in Data Analytics, Universidad del Norte, Barranquilla. Thesis: From Data to Diagnosis: mRNA Insights for Understanding Alzheimer’s Disease in a Caribbean Population. September 2024.
  5. Dariela Castro Polo. MSc in Data Analytics, Universidad del Norte, Barranquilla. Thesis: Spatio-Temporal Analysis of Freight Flows and Rate Per Mile: A Case Study of U.S. Transportation Corridors. September 2024.
  6. Edgard Navarro Peñaloza. MSc in Data Analytics, Universidad del Norte, Barranquilla. Thesis: Sistema de Recomendación de Jugadores para Equipos de Fútbol de la Premier League basado en Machine Learning. September 2024.
  7. Hillary Villarreal. MSc in Data Analytics, Universidad del Norte, Barranquilla. Thesis: Factores Psicosociales y su Influencia en la Eficiencia Organizacional: Un Enfoque basado en Machine Learning. September 2024.
  8. Lina Gómez Araque. MSc in Data Analytics, Universidad del Norte, Barranquilla. Thesis: Sistema Adaptable para la Detección Automática de Transacciones Fraudulentas en Plataformas Digitales. September 2024.
  9. Laura Zapata Prada. MSc in Industrial Engineering, Universidad del Norte, Barranquilla (with Carlos Paternina-Arboleda). Thesis: Asignación de Recursos para la Distribución de Vacunas vía Machine Learning: Caso Aplicado Barranquilla. December 2023.
  10. Luedis Duarte Barboza. MSc in Applied Statistics, Universidad del Norte, Barranquilla (with Lorenleyn De La Hoz Alford). Thesis: Identificación de Variables Determinantes del Comportamiento Mecánico de Espumas de Poliuretano de Origen Natural. July 2022.
  11. Jesús Arévalo Medrano. MSc in Applied Statistics, Universidad del Norte, Barranquilla. Thesis: Determinantes de la Categorización Superior o Muy Superior de las Instituciones Educativas: Caso Distrito de Barranquilla, año 2018. July 2022.
  12. Luiggi Samper Orozco. MSc in Epidemiology, Universidad del Norte, Barranquilla. Thesis: Desarrollo de un Modelo de Genómica Predictiva basado en Machine Learning para la Estimación de la Edad de Inicio de la Enfermedad de Alzheimer: Implicaciones para el Caribe Colombiano. September 2021. Cum Laude distinction.
  13. Elkin Rafael Torres Rivera, MSc in Applied Statistics, Universidad del Norte, Barranquilla. Thesis: Variabilidad Cognitiva en Pacientes con Esquizofrenia. June 2021.
  14. Carmen Quintero Arteaga, MSc in Industrial Engineering, Universidad del Norte, Barranquilla (with Rita Peña-baena Niebles). Thesis: Diseño Estadístico de una Carta de Control \(\bar{X}\) Sintética Totalmente Adaptativa para Procesos Autocorrelacionados. March 2021.
  15. Diego A. Salazar, MSc in Statistics, National University of Colombia at Medellín (with Juan Carlos Salazar). Thesis: Comparación entre SVM y Regresión Logística: cuál es más recomendable para discriminar?. August 2011.

PhD

  1. Maria Isabel Mosquera. PhD in Biomedical Sciences (with Maria Del Pilar Garavito). Thesis: ARN no codificantes largos exosomales y su papel en la patogénesis de la Enfermedad de Alzheimer. December 2023.
  2. Martha L. Cervantes. PhD in Biomedical Sciences (with Pedro Puentes Rozo). Thesis: Variantes Genéticas Asociadas al Trastorno de Déficit de Atención e Hiperactividad en una Comunidad del Caribe Colombiano. May 2022. Magna Cum Laude distinction.
  3. José Luis López-Prado. PhD in Industrial Engineering (with Guisselle García Llinás). Thesis: Modeling of the Rural Distribution System with Applications to Micogrids to Evaluate Reliability. March 2022.
  4. Johan Acosta López. PhD in Psychology, Universidad Maimónides, Buenos Aires, Argentina (with Pedro Puentes Rozo and David Pineda). Thesis: Procesamiento temporal y atención: Endofenotipos cognitivos en el Trastorno Por Déficit de Atención e Hiperactividad. November 2017.

Honors & Awards

  • Premio a la Excelencia Docente [Teaching Excellence Award], Universidad del Norte, November 13, 2024. This recognition is awarded to the top-rated permanent lecturer and professor in each department, based on student teaching evaluations.
  • Premio Divulgador de la Ciencia [Science Communicator Award], Universidad del Norte, November 13, 2024. This recognition is given by the Vice-Chancellor’s Office for Research, Creation and Innovation.
  • Highest Cited Researcher of the Division of Engineering. Universidad del Norte, Barranquilla, Colombia. November 13, 2024. This recognition is given by the Vice-Chancellor’s Office for Research, Creation and Innovation
  • Highest SCOPUS \(h_\text{index}\) of the Division of Engineering. Universidad del Norte, Barranquilla, Colombia. November 13, 2024. This recognition is given by the Vice-Chancellor’s Office for Research, Creation and Innovation.
  • Highest Google Scholar \(h_\text{index}\) of the Division of Engineering. Universidad del Norte, Barranquilla, Colombia. November 13, 2024. This recognition is given by the Vice-Chancellor’s Office for Research, Creation and Innovation.
  • Highly Cited Researcher, Universidad del Norte, Barranquilla, Colombia. July 31, 2023. This recognition is given by the Vice-Chancellor’s Office for Research, Creation and Innovation to the 25 highly cited researcher/professors over the last 5 years according to SCOPUS (3/25) and Google Scholar (8/25).
  • Outstanding Research Award, Department of Industrial Engineering, Division of Engineering, Universidad del Norte, Barranquilla, Colombia. January 15, 2023. This award recognizes the outstanding publishing record of up to three Professors during the previous academic year.
  • Highly Cited Researcher, Universidad del Norte, Barranquilla, Colombia. March 10, 2022. This recognition is given by the Vice-Chancellor’s Office for Research, Creation and Innovation to the 25 highly cited researcher/professors over the last 5 years according to SCOPUS (3/25) and Google Scholar (7/25).
  • Medalla Orden al Mérito Científico [Scientific Merit Medal], Universidad del Norte, Barranquilla, Colombia. November 23, 2020. This recognition is given to the professor who has done important work in the field of research and science with national and international recognition, and published his/her scientific activities.
  • Outstanding Research Award, Division of Engineering, Universidad del Norte, Barranquilla, Colombia. January 15, 2019. This award recognizes the outstanding publishing record of up to five Professors/Researchers of the Division of Engineering during the previous academic year.
  • Visitor Researcher, Genomics and Predictive Medicine Group, John Curtin School of Medical Research, The Australian National University, Canberra, ACT, Australia. April 11, 2016-2019.
  • Eccles Scholarship in Medical Sciences (1279/2010), The Australian National University, Canberra, ACT, Australia. This scholarship is awarded to International Students to pursue a full-time program of study for the degree of Doctor of Philosophy of the Australian National University within the John Curtin School of Medical Research.
  • Fenner Merit Scholarship (1369/2010), The Australian National University, Canberra, ACT, Australia. The scholarship is named in honour of Professor Frank Fenner, and its purpose is to attract students of high calibre to pursue postgraduate research for a PhD degree at the John Curtin School of Medical Research.
  • ANU Higher Degree Research (HDR) Merit Scholarship, The Australian National University, Canberra, ACT, Australia. This scholarship covers tuition fees for the standard duration of the PhD program.
  • Intramural Research Training Award (IRTA), Muenke Lab, Medical Genetics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA. August 2007–August 2012.

Media

  • Estudio le apunta al diagnóstico personalizado en la enfermedad de Alzheimer, Universidad del Norte, Junio 4, 2024.
  • Variantes genéticas en receptor olfativo estarían asociadas a velocidad de deterioro cognitivo por alzhéimer, Universidad del Norte, Abril 9, 2024.
  • Tras los genes de la epidemia del olvido en el Caribe colombiano, Universidad del Norte, Febrero 19, 2024.
  • Científicos de UniNorte buscan identificar mutaciones del Alzheimer en el Atlántico, Zona Cero, Noviembre 25, 2023.
  • Señales para detectar que podría estar padeciendo Alzheimer y debe consultar al médico, El Tiempo, Noviembre 12, 2023.
  • Estudio busca identificar mutaciones genéticas del alzhéimer en el Atlántico, Universidad del Norte, Noviembre 7, 2023.
  • Mapeo genético y su impacto en enfermedades como Cáncer y Alzheimer, Podcast intellecta, Agosto 15, 2023.
  • Reconocimiento a nuestros profesores más citados en Scopus y Google Scholar 2022, Universidad del Norte, Agosto 2, 2023.
  • En Familia con Judith Sarmiento: Misión Origen Genética, Entrevista en Caracol Radio, Noviembre 6, 2022. La entrevista comienza en el minuto 15:25.
  • Estudio sobre mutaciones genéticas revela afectaciones de metabolismo asociadas al TDAH, Universidad del Norte, Octubre 11, 2022.
  • Jorge Vélez, la estadística en el estudio del genoma humano, Universidad del Norte, Junio 13, 2022.
  • Nuestros profesores investigadores más citados en Scopus y Google Scholar, Universidad del Norte, Marzo 10, 2022.
  • En búsqueda del tesoro: La información basada en los datos. Entrevista en Uninorte FM Estéreo, Octubre 28, 2021.
  • Uninorte ProCaM investiga el genoma para entender el riesgo al cáncer de mamá en el Atlántico, Entrevista en Uninorte FM Estéreo, Septiembre 9, 2021.
  • Nos vinculamos a consorcio internacional que estudia el cáncer de seno en Latinoamérica, Universidad del Norte, Septiembre 7, 2021.
  • La edad de inicio del Alzheimer: un enigma que abre puertas a la genética, Revista Intellecta, Edición #5, Octubre 2020.
  • Identifican siete subgrupos de pacientes con Chikunguña en Barranquilla, Universidad del Norte, Junio 19, 2020.
  • Una mirada a la Medicina del Futuro, Revista Intellecta, Edición #4, 2019.
  • La detección del TDAH ya tiene hoja de ruta en Barranquilla, El Heraldo, Septiembre 8, 2019.
  • ¿Qué relación guardan nuestros genes con el trastorno de déficit de atención e hiperactividad?, Universidad del Norte, Agosto 16, 2019.
  • Las variantes genéticas y sus efectos en torno al TDAH, El Heraldo, Febrero 11, 2019.
  • Predecir si un niño con déficit de atención consumirá drogas sería posible, El Espectador, Febrero 9, 2019.
  • Genética ayudará a tratar pacientes con trastorno de déficit de atención e hiperactividad, Universidad del Norte, Febrero 8, 2019.
  • Grupo de investigación identifica marcadores genéticos que retrasan edad de inicio del Alzheimer, Universidad del Norte, Septiembre 10, 2018.
  • Referentes mundiales en estudio de Trastorno de Déficit de Atención e Hiperactividad se dieron cita en Uninorte, Universidad del Norte, Noviembre 15, 2017.
  • Profesor de Industrial Participa en investigación sobre enfermedades genéticas, Universidad del Norte, Mayo 11, 2016.
  • Tras los genes de la enfermedad del olvido, Revista Intellecta, Edición #2, 2017.
  • Quiere saber si va a sufrir de Alzheimer?, Revista Semana, Junio 15, 2017.
  • Scientists isolate genes that delay Alzheimer’s Disease, Australian National University Press, December 2, 2015.
  • Gene which delays Alzheimer’s Disease by 17 years discovered by scientists, The Telegraph, December 1, 2015.
  • Scientists find ‘gene that delays Alzheimer’s’, National Institute for Health and Care Research, UK, December 3, 2015.

Research

As of November 15, 2024, I have coauthored 96 ISI/SCOPUS research papers with a total of 3774 citations and an \(h_\text{index}\) of 31. You can access some of these publications below, or directly from Google Scholar, PubMed, Research Gate, SCOPUS, ORCID, SciProfiles or CvLAC . My AD Scientific Index is here.

  1. Daniel A. Bolívar, María I. Mosquera-Heredia, Oscar M. Vidal, Ernesto Barceló, Ricardo Allegri, Luis C. Morales, Carlos Silvera-Redondo, Mauricio Arcos-Burgos, Pilar Garavito-Galofre, Jorge I. Vélez. Exosomal mRNA Signatures as Predictive Biomarkers for Risk and Age of Onset in Alzheimer’s Disease. International Journal of Molecular Sciences. 25(22):12293.

  2. Jairo A. Angel, Francisco M.M. Rocha, Jorge I. Vélez and Julio M. Singer. A new test for detecting specification errors in Gaussian linear mixed-effects models. AIMS Mathematics, 2024, 9(11): 30710-30727.

  3. Maria I. Mosquera-Heredia, Oscar M. Vidal, Luis C. Morales, Carlos Silvera-Redondo, Ernesto Barceló, Ricardo Allegri, Mauricio Arcos-Burgos, Jorge I. Vélez, Pilar Garavito-Galofre. Long Non-Coding RNAs and Alzheimer’s disease: Towards Personalized Diagnosis. International Journal of Molecular Sciences. 25(4):7641.

  4. Escudero-Cabarcas J, Pineda-Alhucema W, Martinez-Banfi M, Acosta-López JE, Cervantes-Henriquez ML, Mejía-Segura E, Jiménez-Figueroa G, Sánchez-Barros C, Puentes-Rozo PJ, Noguera-Machacón LM, Ahmad M, De La Hoz M, Vélez JI, Arcos-Burgos M, Pineda DA, Sánchez M. Theory of Mind in Huntington’s Disease: A Systematic Review of 20 Years of Research. J Huntingtons Dis 2024;13(1):15-31.

  5. Diego Sepulveda-Falla, Jorge I. Vélez, Natalia Acosta-Baena, Ana Baena, Sonia Moreno, Susanne Krasemann, Francisco Lopera, Claudio A. Mastronardi, Mauricio Arcos-Burgos. Genetic Modifiers of Cognitive Decline in PSEN1 E280A Alzheimer’s disease. Alzheimer’s & Dementia, 2024.

  6. Nazhir Amaya-Tejera, Margarita Gamarra, Jorge I. Vélez, Eduardo Zurek. A Distance-Based Kernel for Classification via Support Vector Machines. Frontiers in Artificial Intelligence, 2024, 7.

  7. Ahmad, M.; Ríos-Anillo, M.R.; Acosta-López, J.E.; Cervantes-Henríquez, M.L.; Martínez-Banfi, M.; Pineda-Alhucema, W.; Puentes-Rozo, P.; Sánchez-Barros, C.; Pinzón, A.; Patel, H.R.; Vélez, J. I.; Villarreal-Camacho, J. L. et al. Uncovering the Genetic and Molecular Features of Huntington’s Disease in Northern Colombia. International Journal of Molecular Sciences, 2023, 24, 16154.

  8. Palomino, K; Berdugo, C. R.; Vélez, J. I. Leading consumption patterns of psychoactive substances in Colombia: A deep neural network-based clustering-oriented embedding approach. PLoS ONE (2023).

  9. Garavito-De Egea, G.; Domínguez-Vargas, A.; Vélez, J. I.; Aroca, G.; Fang, L.; Navarro-Quiroz, E.; Espitaleta, Z.; Toro-Camargo, K.D.; Martínez-Ariza, L.; González-Vargas, T.; García, S.; Arcos-Burgos, M.; Egea, E. Common interacting genetic variation shapes susceptibility to Type 1 diabetes in a Colombian Caribbean community: In search of shared genetic markers. Genes & Diseases 11 (4), pp. 101058, 2023.

  10. Ana M. Díaz-Zuluaga, Jorge I. Vélez, Mauricio Cuartas, Johanna Valencia, Mauricio Castaño, Juan David Palacio, Mauricio Arcos-Burgos, Carlos López-Jaramillo. Ancestry component as a major predictor of lithium response in the treatment of bipolar disorder. Journal of Affective Disorders (2023).

  11. Vidal, O.M., Vélez, J.I. & Arcos-Burgos, M. ADGRL3 genomic variation implicated in neurogenesis and ADHD links functional effects to the incretin polypeptide GIP. Scientific Reports 12, 15922 (2022).

  12. Ferreira-Vanegas, C.M.; Vélez, J.I.; García-Llinás, G.A. Analytical Methods and Determinants of Frequency and Severity of Road Accidents: A 20-Year Systematic Literature Review. Journal of Advanced Transportation, vol. 2022, Article ID 7239464, 17 pages.

  13. López-Rivera, J.J.; Rodríguez-Salazar, L.; Soto-Ospina, A.; Estrada-Serrato, C.; Serrano, D.; Chaparro-Solano, H.M.; Londoño, O.; Rueda, P.A.; Ardila, G.; Villegas-Lanau, A.; Godoy-Corredor, M.; Cuartas, M.; Vélez, J.I.; Vidal, O.M.; Isaza-Ruget, M.A.; Arcos-Burgos, M. Structural Protein Effects Underpinning Cognitive Developmental Delay of the PURA p.Phe233del Mutation Modelled by Artificial Intelligence and the Hybrid Quantum Mechanics–Molecular Mechanics Framework. Brain Sciences, 12(7), 871.

  14. López-Prado, J. L; González-Sánchez, J. W.; Vélez, J. I., Garcia-Llinás, G. A. (2022). Reliability Assessment in Rural Distribution Systems with Microgrids: A Computational-based Approach. IEEE Access, vol. 10, pp. 43327-43340.

  15. Aguillon, D.; Vásquez, D.; Madrigal, L.; Moreno, S.; Hernández, D.; Isaza-Ruget, M.; López, J. J.; Landires, I.; Nuñez-Samudio, V.; Restrepo, C. M.; Vidal, O. M.; Vélez, J. I.; Arcos-Holzinger, M.; Lopera, F.; Arcos-Burgos, M. (2022). Ataxia with Ocular Apraxia type 1 (AOA1) (APTX; W279* mutation): Neurological, Neuropsychological, and Molecular Outlining of a Heterogenous Phenotype in Four Colombian Siblings. Molecular Neurobiology, 59, pp. 3845–3858.

  16. Quintero-Arteaga, C.; Peñabaena-Niebles, P.; Vélez, J. I.; Jubiz-Diaz, M. (2022). Statistical design of an adaptive synthetic \(\bar{X}\) control chart for autocorrelated processes. Quality and Reliability Engineering International.

  17. Valencia-Echeverry, J.; Cuartas-Arias, J. M.; Vélez; J. I., Arcos-Burgos, M.; López-Jaramillo, C.; Palacio-Ortiz, J. D. (2022). Executive Function Deficit in Bipolar offspring: A Neurocognitive Endophenotype? (2022). Journal of Affective disorders, S0165-0327(21)01121-6.

  18. Acosta-López, J.E.; Suárez, I.; Pineda, D.A.; Cervantes-Henríquez, M.L.; Martínez-Banfi, M.L.; Lozano-Gutiérrez, S.G.; Ahmad, M.; Pineda-Alhucema, W.; Noguera-Machacón, L.M.; De La Hoz, M.; Mejía-Segura, E.; Jiménez-Figueroa, G.; Sánchez-Rojas, M.; Mastronardi, C.A.; Arcos-Burgos, M.; Vélez, J.I.; Puentes-Rozo, P.J. Impulsive and Omission Errors: Potential Temporal Processing Endophenotypes in ADHD. Brain Sciences. 11(9), 1218, 2021.

  19. Mosquera-Heredia, M.I.; Morales, L.C.; Vidal, O.M.; Barceló, E.; Silvera-Redondo, C.; Vélez, J.I.; Garavito-Galofre, P. Exosomes: Potential Disease Biomarkers and New Therapeutic Targets. Biomedicines, 9, 1061, 2021.

  20. Martinez-Banfi, M., Vélez, J.I., Mebarak Chams, M.R., Arcos-Holzinger, M., Acosta-López, J.E., García, R., Perea, M.V., Arcos-Burgos, M., Ladera, V. Utility of a Short Neuropsychological Protocol for Detecting HIV-Associated Neurocognitive Disorders in Patients with Asymptomatic HIV-1 Infection. Brain Sciences, 11(8), 1037, 2021.

  21. Machado-Domínguez, L.F., Paternina-Arboleda, C.D., Vélez, J.I., Barrios-Sarmiento, A. A memetic algorithm to address the multi-node resource-constrained project scheduling problem. J Sched 24, 413–429, 2021.

  22. Sebastian Racedo, Ivan Portnoy, Jorge I. Vélez, Homero San-Juan-Vergara, Marco Sanjuan, Eduardo Zurek. A new pipeline for structural characterization and classification of RNA-Seq microbiome data, BioData Mining, 14 (31), 2021.

  23. M.L. Cervantes-Henriquez, J.E. Acosta-López, M. Ahmad, M. Sánchez-Rojas, G. Jiménez-Figueroa, W. Pineda-Alhucema, M.L. Martinez-Banfi, L.M. Noguera-Machacón, E. Mejía-Segura, M. De La Hoz, M. Arcos-Holzinger, D.A. Pineda, P.J. Puentes-Rozo, M. Arcos-Burgos, J.I. Vélez. ADGRL3, FGF1 and DRD4: Linkage and Association to Working Memory and Perceptual Organization Endophenotypes in ADHD. Brain Sciences, 11(7), 854, 2021.

  24. Luis F. Machado-Domínguez, Carlos D. Paternina-Arboleda, J.I. Vélez, Agustín Barrios-Sarmiento. An adaptative bacterial foraging optimization algorithm for solving the MRCPSP with discounted cash flows, TOP, 2021.

  25. Martha L. Cervantes-Henríquez, Johan E. Acosta-López, Ariel F. Martinez, Mauricio Arcos-Burgos, Pedro J. Puentes-Rozo, Jorge I. Vélez. Machine Learning Prediction of ADHD Severity: Association and Linkage to ADGRL3, DRD4, and SNAP25. J Atten Disord, 2021.

  26. Vélez JI, Samper LA, Arcos-Holzinger M, Espinosa LG, Isaza-Ruget MA, Lopera F, Arcos-Burgos M. A Comprehensive Machine Learning Framework for the Exact Prediction of the Age of Onset in Familial and Sporadic Alzheimer’s Disease. Diagnostics. 11, 887, 2021.

  27. Vélez, J. I.. Machine Learning Psychology: Advocating for a Data-Driven Approach. Intern J of Psych Research, 14(1), 6–11.

  28. Diego Sepulveda-Falla, Lucia Chavez-Gutierrez, Erik Portelius, Jorge I. Vélez, Simon Dujardin, et al. A multifactorial model of pathology for age of onset heterogeneity in familial Alzheimer’s disease. Acta Neuropathologica, 141, pp. 217-33.

  29. Jose L. López-Prado, Jorge I. Vélez, Guisselle A. García-Llinás Reliability Evaluation in Distribution Networks with Microgrids: Review and Classification of the Literature. Energies 23 (13), pp. 1-31.

  30. Maria Camila Navarro, Fernando Marmolejo-Ramos, Valentina Vásquez, Bárbara Carrea, Jorge I. Vélez, Moisés Mebarak Chams. An Exploratory Study for Assessment of Multimodal Semantic Memory in Colombian Children. Intern J of Psych Research, 13 (2), pp. 49-58.

  31. Marcela Henriquez-Henriquez, Maria T. Acosta, Ariel F. Martinez, Jorge I. Vélez, Francisco Lopera, David Pineda, Juan D. Palacio, Teresa Quiroga, Tilla S. Worgall, Richard J. Deckelbaum, Claudio Mastronardi, Brooke S. G. Molina, the MTA Cooperative Group, Mauricio Arcos-Burgos, Maximilian Muenke. Mutations in sphingolipid metabolism genes are associated with ADHD. Translational Psychiatry, 2020.

  32. Oscar M. Vidal, Jorge Acosta-Reyes, Jesús Padilla, Edgar Navarro-Lechuga, Elsa Bravo, Diego Viasus, Mauricio Arcos-Burgos, Jorge I. Vélez. Chikungunya outbreak (2015) in the Colombian Caribbean: Latent classes and gender differences in virus infection. PLoS Neglected Tropical Diseases, 2020.

  33. Isabel Suarez, Carlos De Los Reyes Aragón, Elisa Díaz, Tania Iglesias, Ernesto Barceló, Jorge I. Vélez, Laurence Casini. How is Temporal Processing Affected in Children with Attention-deficit/Hyperactivity Disorder?. Developmental Neuropsychology 2020, pp. 1-16.

  34. Landires, I.; Núñez-Samudio, V.; Fernandez, J.; Sarria, C.; Villareal, V.; Córdoba, F.; Apráez-Ippolito, G.; Martínez, S.; Vidal, O.M.; Vélez, J.I.; Arcos-Holzinger, M.; Landires, S.; Arcos-Burgos, M. Calpainopathy: Description of a Novel Mutation and Clinical Presentation with Early Severe Contractures. Genes, 2020, 11, 129.

  35. Vélez JI, Lopera F, Silva CT, Villegas A, Espinosa LG, Vidal OM, Mastronardi CA, Arcos-Burgos M. Familial Alzheimer’s Disease and Recessive Modifiers. Mol Neurobiol. 2019 Oct 29. doi: 10.1007/s12035-019-01798-0.

  36. Mebarak Chams M, Tinoco L, Mejia-Rodriguez D, Martinez-Banfi ML, Preuss H, Hammerle F, Vélez JI, Kolar DR. The Spanish Body Image State Scale: Factor Structure, Reliability and Validity in a Colombian Population. Front Psychol. 2019 Nov 22,10:2553.

  37. Pedro J. Puentes-Rozo, Johan E. Acosta-López, Martha L. Cervantes-Henríquez, Martha L. Martínez-Banfi, Elsy Mejia-Segura, Manuel Sánchez-Rojas, Marco E. Anaya-Romero, Antonio Acosta-Hoyos, Guisselle A. García-Llinás, Claudio A. Mastronardi, David A. Pineda, F. Xavier Castellanos, Mauricio Arcos-Burgos, Jorge I. Vélez. Genetic Variation Underpinning ADHD Risk in a Caribbean Community. Cells 8(8), 2019.

  38. Mauricio Arcos-Burgos, Jorge I. Vélez, Ariel F. Martinez, Marta Ribasés, et al.: ADGRL3 (LPHN3) variants predict substance use disorder. Translational Psychiatry 9(1), Jan, 2019 , pp. 42.

  39. Pineda-Alhucema, W., Aristizabal, E., Escudero-Cabarcas, J, Acosta-López JE, Vélez JI: Executive Function and Theory of Mind in Children with ADHD: A Systematic Review. Neuropsychol Rev 2018 Aug.

  40. Jorge I. Vélez, Francisco Lopera, Penelope K. Creagh, Laura B. Piñeros, et al.: Targeting Neuroplasticity, Cardiovascular, and Cognitive-Associated Genomic Variants in Familial Alzheimer’s Disease. Molecular Neurobiology 2018 Aug pp 1-9.

  41. Cervantes-Henríquez ML, Acosta-López JE, Martínez-Banfi ML, Vélez JI, Mejía-Segura E, Lozano-Gutiérrez SG, et al: ADHD Endophenotypes in Caribbean Families. J Atten Disord. 2018 Mar 1:1087054718763741.

  42. San-Juan-Vergara H, Zurek E, Ajami NJ, Mogollon C, Peña M, Portnoy I, Vélez JI, Cadena-Cruz C, et al. A Lachnospiraceae-dominated bacterial signature in the fecal microbiota of HIV-infected individuals from Colombia, South America. Sci Rep. 2018 Mar 14,8(1):4479.

  43. Trejos-Herrera AM, Bahamón MJ, Alarcón-Vásquez Y, Vélez JI, Vinaccia S. Validity and Reliability of the Multidimensional Scale of Perceived Social Support in Colombian Adolescents. Psychosocial Intervention, 2018, Vol. 27 Issue 1, p56-63.

  44. Martínez-Banfi M, Vélez JI, Perea MV, García R, Puentes-Rozo PJ, Mebarak Chams M, Ladera V. Neuropsychological performance in patients with asymptomatic HIV-1 infection. AIDS Care. 2018 May,30(5):623-633.

  45. Fernando Marmolejo-Ramos, Carlos Tirado, Edward Arshamian, Jorge I. Vélez, Artin Arshamian. The allocation of valenced concepts onto 3D space, Cognition and Emotion, 2017, pp. 1-10.

  46. Vélez, JI & Marmolejo-Ramos, F. Extension of a graphical diagnostic test for contingency tables. Chilean Journal of Statistics, 2017 8(1), 53-65.

  47. Andrews SJ, Eramudugolla R, Vélez JI, Cherbuin N, Easteal S, Anstey KJ. Validating the role of the Australian National University Alzheimer’s Disease Risk Index (ANU-ADRI) and a genetic risk score in progression to cognitive impairment in a population-based cohort of older adults followed for 12 years. Alzheimers Res Ther. 2017 Mar 4,9(1):16. doi: 10.1186/s13195-017-0240-3.

  48. G Jiménez-Figueroa, C Ardila-Duarte, DA Pineda, JE Acosta-López, ML Cervantes-Henríquez, W Pineda-Alhucema, J Cervantes-Gutiérrez, M Quintero-Ibarra, M Sánchez-Rojas, JI Vélez, PJ Puentes-Rozo. Prepotent response inhibition and reaction times in children with attention deficit/hyperactivity disorder from a Caribbean community. Atten Defic Hyperact Disord. 2017 Feb 25.

  49. Wong ML, Arcos-Burgos M, Liu S, Vélez JI, Yu C, Baune BT, Jawahar MC, Arolt V, Dannlowski U, Chuah A, Huttley GA, Fogarty R, Lewis MD, Bornstein SR, Licinio J. The PHF21B gene is associated with major depression and modulates the stress response. Mol Psychiatry, 2016 Oct 25.

  50. Vélez JI, Lopera F, Patel HR, Johar AS, et al. Mutations modifying sporadic Alzheimer’s disease age of onset. Am J Med Genet B Neuropsychiatr Genet. 2016 Aug 30.

  51. Das D, Vélez JI, Acosta MT, Muenke M, Arcos-Burgos M, Easteal S. Retrospective assessment of childhood ADHD symptoms for diagnosis in adults: validity of a short 8-item version of the Wender-Utah Rating Scale. Atten Defic Hyperact Disord, 2016 Aug 10.

  52. CA Mastronardi, E Pillai, DA Pineda, AF Martinez, F Lopera, Vélez JI, JD Palacio et al.: Linkage and association analysis of ADHD endophenotypes in extended and multigenerational pedigrees from a genetic isolate, Molecular Psychiatry, 2016, 21, pp. 1434–1440.

  53. Johar A, Sarmiento-Monroy JC, Rojas-Villarraga A, Silva-Lara MF, Patel HR, Mantilla RD, Vélez JI, Schulte KM, Mastronardi C, Arcos-Burgos M, Anaya JM. Definition of mutations in polyautoimmunity. J Autoimmun. 2016 Aug,72:65-72.

  54. Vélez JI, F Lopera, D Sepulveda-Falla, HR Patel, AS Johar, et al.: APOE\(*\)E2 Allele Delays Age of Onset in PSEN1 E280A Alzheimer’s Disease. Molecular Psychiatry, Jul, 21(7):916-24.

  55. Vélez JI, D Rivera, CA Mastronardi, HR Patel, C Tobón, et al.: A mutation in DAOA modifies the Age-of-Onset in PSEN1 E280A Alzheimer’s disease, Neural Plasticity, 2016.

  56. JI Vélez, F Marmolejo-Ramos and JC Correa: A graphical diagnostic test for two-way contingency tables, Revista Colombiana de Estadística, 39(1), pp. 97-108.

  57. JI Vélez, F Marmolejo-Ramos: Los Secretos de Cien Años de Soledad: Una Aproximación Estilométrica para la Investigación en Psicolingüística [The Secrets of One Hundred Years of Solitude: A Stylometric Approach for Psycholinguistic Research], Revista Colombiana de Psicología, 2016, 25(2), 265-288.

  58. F Marmolejo-Ramos, JI Vélez, X Rom~ao: Automatic detection of discordant outliers via the Ueda’s method, Journal of Statistical Distributions and Applications, 2015 Oct 2(8): pp. 1-14.

  59. JI Vélez, JC Correa & F Marmolejo-Ramos: A new approach to the Box-Cox transformation. Frontiers in Applied Mathematics and Statistics, Article 12, October 30, 2015.

  60. Angad S. Johar, Claudio Mastronardi, Adriana Rojas-Villarraga, Hardip R. Patel, Aaron Chuah, Kaiman Peng, Angela Higgins, Peter Milburn, Stephanie Palmer, Maria Fernanda Silva, JI Vélez, Dan Andrews, et al.: Novel and Rare Functional Genomic Variants in Multiple Autoimmune Syndrome and Sjögren’s syndrome. Journal of Translational Medicine, 2015 Jun 2,13:173.

  61. JI Vélez, JC Correa: A modified Q-Q plot for large sample sizes, Comunicaciones en Estadística, 8 (2), pp. 163-172.

  62. JI Vélez, JC Correa: Bootstrap-based parameter estimation for grouped data, Revista Facultad de Ciencias, 4 (2), pp. 74-82, 2015.

  63. Jorge I. Vélez, Cameron A. Jack, Aaron Chuah, Bob Buckley, Juan C. Correa, Simon Easteal and Mauricio Arcos-Burgos: Cross validation of pooling/resampling GWAS using the WTCCC data. Molecular Biology and Genetic Engineering, 2015, 3, Article 1.

  64. D González-Gómez, JI Vélez, JC Correa: Comparación de 13 intervalos de confianza para los parametros de la distribución multinomial [Comparison of 13 confidence intervals for the parameters of the multinomial distribition], Revista Facultad de Ciencias, 4 (2), 150-163, 2015.

  65. Jorge I. Vélez, Juan Carlos Correa and Mauricio Arcos-Burgos: A new method for detecting significant p-values with applications to genetic data. Revista Colombiana de Estadística, 37(1), pp. 69-78.

  66. Jorge I. Vélez and Juan Carlos Correa: Should we think of a different median estimator?. Comunicaciones en Estadística, 2014,7(1):11-17.

  67. Vélez, J. I., Correa, J. C. Estimación bayesiana del parámetro de la distribución Poisson censurada sin ceros [Bayesian estimation of the non-zero censored poisson distribution parameter], Cuadernos de Estadística Aplicada, 2014, 1 (1), 1-9.

  68. Correa, J.C., Vélez, J. I.. Una nota de cuidado sobre el efecto de datos parcialmente faltantes en la prueba de independencia \(\chi^2\) [A cautionary note on the effect of partially-missing data in the \(\chi^2\) test of independence], Comunicaciones en Estadística, 2014, 7(2), 189-199.

  69. Minig L, Vélez JI, Trimble EL, Biffi R, Maggioni A, Jeffery DD. Changes in short-term health-related quality of life in women undergoing gynecologic oncologic laparotomy: an associated factor analysis. Support Care Cancer. 2013 Mar,21(3):715-26.

  70. Walsh KS, Vélez JI, Kardel PG, Imas DM, Muenke M, Packer RJ, Castellanos FX, Acosta MT. Symptomatology of autism spectrum disorder in a population with neurofibromatosis type 1. Dev Med Child Neurol. 2013 Feb,55(2):131-8.

  71. Jorge I. Vélez, Settara C. Chandrasekharappa, et al.: Pooling/Bootstrap-based GWAS (pbGWAS) Identifies New Loci Modifying the Age of Onset in PSEN1 p.Glu280Ala Alzheimer’s Disease. Molecular Psychiatry, May 2013, 18, pp. 568–575.

  72. Jorge I. Vélez, Juan Carlos Correa: Comparación de procedimientos FDR para la selección de parámetros en Regresión Poisson [Comparison of FDR-based procedures to select parameters in Poisson Regression] Comunicaciones en Estadística, Junio 2013, Vol. 6, No 1.

  73. Jorge I. Vélez, Jairo A. Angel, Juan Carlos Correa: Cuantificación de variants genéticas utilizando Modelos Jerárquicos Bayesianos [Quantification of genetic variants using Bayesian Hierarchical Models], Comunicaciones en Estadística, Junio 2013, Vol. 6, No 1.

  74. Jorge I. Vélez, Juan Carlos Correa: Una prueba de independencia completa basada en la FDR [A test for complete independence based on FDR], Comunicaciones en Estadística, Diciembre 2013, Vol. 6, No 2.

  75. Mauricio Arcos-Burgos, Ana C. Londoño, David A. Pineda, Francisco Lopera, Juan D. Palacio, Andres Arbelaez, Maria T. Acosta, Jorge I. Vélez, F. Xavier Castellanos, and Maximilian Muenke: Analysis of Brain Metabolism by Proton-Magnetic-Resonance-Spectroscopy (\(^1\)H-MRS) in Attention-Deficit/Hyperactivity Disorder Suggests a Generalized Differential Ontogenic Pattern from Controls. Atten Defic Hyperact Disord. July 20, 2012.

  76. Mauricio Camargo, Dora Rivera, Lina Moreno, Andrew C. Lidral, Ursula Harper, Marypat Jones, Benjamin D. Solomon, Erich Roessler, Jorge I. Vélez, Ariel F. Martinez, Settara C. Chandrasekharappa, and Mauricio Arcos-Burgos: GWAS Reveals New Recessive Loci Associated with Non-Syndromic Facial Clefting. European Journal of Medical Genetics, Oct 2012, 55(10), pp. 510-14.

  77. Mauricio Arcos-Burgos, Jorge I. Vélez, Benjamin D. Solomon, Maximilian Muenke: A Common Genetic Network Underlies Substance Use Disorders and Disruptive or Externalizing Disorders. Human Genetics. Apr 2012, 131, pp. 917–929.

  78. Diego A. Salazar, Jorge I. Vélez, Juan Carlos Salazar: Comparison between SVM and Logistic Regression: which one is better to discriminate?, Revista Colombiana de Estadística, 2012, 35(2), pp. 223-237.

  79. Erich Roessler, Jorge I. Vélez, Nan Zhou and Maximilian Muenke: Utilizing prospective sequence analysis of SHH, ZIC2, SIX3 and TGIF in holoprosencephaly probands to describe the parameters limiting the observed frequency of mutant gene \(\times\) gene interactions. Molecular Genetics and Metabolism. Jan 2012, 105(4), pp. 658-664.

  80. Jorge I. Vélez, Juan Carlos Correa: Carta al Editor [Letter to the Editor] Comunicaciones en Estadística, Diciembre 2011, Vol. 4, No. 2.

  81. Pineda D.A., Lopera F., Puerta I.C., Trujillo-Orrego N., Aguirre-Acevedo, D.C., Hincapié-Henao L., Arango P., Acosta M.T., Martinez A.F., Holzinger S.I., Palacio J.D., Pineda-Alvarez D.E., Vélez J.I., Lewis J.E., Muenke M., and Arcos-Burgos M.: Potential Cognitive Endophenotypes in Multigenerational Families: Segregating ADHD from a Genetic Isolate. Atten Defic Hyperact Disord. Jul 2011, 3(291).

  82. Maria T. Acosta, Jorge I. Vélez, M. Leonor Bustamante, Joan Z. Balog, Mauricio Arcos-Burgos, Maximilian Muenke: A Two-Locus Genetic Interaction between LPHN3 and 11q Predicts ADHD Severity and Long-Term Outcome. Translational Psychiatry (2011) 1, e17.

  83. Jain M, Vélez JI, Acosta MT, Palacio LG, Balog J, Roessler E, Pineda D, et al. A cooperative interaction between LPHN3 and 11q doubles the risk for ADHD. Molecular Psychiatry. May 2011, 17, pp. 741–747.

  84. Keaton A, Solomon BD, Kauvar EF, El-Jaick KB, Gropman AL, Zafer Y, Meck JM, Bale SJ, Grange DK, Haddad BR, Gowans GC, Clegg NJ, Delgado MR, Hahn JS, Pineda-Alvarez DE, Lacbawan F, Vélez JI, Roessler E, Muenke M.: Mutations in TGIF in human holoprosencephaly: correlation between genotype and phenotype. Mol Syndromol 1:211-222, 2010.

  85. Benjamin D. Solomon, Daniel E. Pineda-Alvarez, Manu S. Raam, Sophia M. Bous, Amelia Keaton, Jorge I. Vélez, Derek A.T. Cummings: VACTERL Association: Analysis of Component Findings in 79 Patients. Am J Med Genet, Part A. Aug 3, 2010, 152A:2236-2244.

  86. Minig L, Velazco A, Lamm M, Vélez JI, Venturini NC, Testa R. Evaluation of laparoscopic management of gynecologic emergencies by residents. Int J Gynaecol Obstet. 2010 Jun 24.

  87. Arcos-Burgos M., Jain M, Acosta MT, Shively S, Stanescu H, Wallis D, Domené S, Vélez JI, Karkera JP, et al. A Common Variant of Latrophilin 3, LPHN3, Gene Confers Susceptibility to ADHD and Predicts Effectiveness of Stimulant Medication. Molecular Psychiatry, February 2010, 15, pp. 1053–1066.

  88. Benjamin D. Solomon, Sandra Mercier, Jorge I. Vélez, Daniel E. Pineda-Alvarez, Sylvie Odent et al: Analysis of Genotype-Phenotype Correlations in Human Holoprosencephaly. Am J Med Genet C Semin Med Genet. 2010 Feb 15, 154C(1):133-41.

  89. Solomon BD, Lacbawan F, Mercier S, Clegg NJ, Delgado MR, Rosenbaum K, Dubourg C, David V, Olney AH, Wehner LE, Hehr U, Bale S, Paulussen A, Smeets HJ, Hardisty E, Tylki-Szymanska A, Pronicka E, Clemens M, McPherson E, Hennekam RC, Hahn J, Stashinko E, Levey E, Wieczorek D, Roeder E, Schell-Apacik CC, Booth CW, Thomas RL, Kenwrick S, Cummings DA, Bous SM, Keaton A, Balog JZ, Hadley D, Zhou N, Long R, Vélez JI, Pineda-Alvarez DE, Odent S, Roessler E, Muenke M. Mutations in ZIC2 in human holoprosencephaly: description of a novel ZIC2 specific phenotype and comprehensive analysis of 157 individuals. J Med Genet. Aug 2010,47(8):513-24.

  90. Yanjanin NM, Vélez JI, Gropman A, King K, et al.: Linear Clinical Progression, Independent of Age of Onset, in Niemann–Pick Disease, Type C. Am J Med Genet B Neuropsytr Genet. 2010 Jan 5,153B(1):132-40.

  91. Maggioni A., Minig L., Zanagnolo V., Bocciolone L., Colombo N., Landoni F., Peiretti M., Sanguineti F., Vélez J.I.: Robotic Surgery for Cervical Cancer: Comparison with Laparotomy. A case control study. Gynecol Oncol. Oct 2009, 115(1): 60-4.

  92. Erich Roessler, Kenia B. El-Jaick, Christèle Dubourg, Jorge I. Vélez, Benjamin D. Solomon, et al.: The mutational spectrum of holoprosencephaly-associated changes within the SHH gene in humans predict loss-of-function through either key structural alterations of the ligand or its altered synthesis. Hum Mutat. Oct 2009, 30(10): E921-35.

  93. Erich Roessler, Wuhong Pei, Maia V. Ouspenskaia, Jayaprakash D. Karkera, Jorge I. Vélez, Sharmilla Banerjee-Basu, et al.: Cumulative ligand activity of NODAL mutations and modifiers are linked to human heart defects and holoprosencephaly. Mol Genet Metab. 2009 Sep-Oct, 98(1-2):225-34. Epub 2009 May 27.

  94. Lacbawan, F., Solomon, B., Roessler, E., El-Jaick, K, Domené, S., Vélez, J.I., Zhou, N., et al.: Clinical spectrum of SIX3-associated mutations in holoprosencephaly: correlation between genotype, phenotype and function. J Med Genet 46 (6): 389-98, 2009.

  95. Domené S., Roessler E., El-Jaick K.B., Snir M., Brown J.L., Vélez J.I., Bale S., Lacbawan F., Muenke M., Feldman B.: Mutations in the human SIX3 gene in holoprosencephaly are loss-of-function. Hum. Mol. Genet., 17, 24: 3919-3928, 2008.

  96. Roessler E., Ouspenskaia M.V., Karkera J.D., Vélez J.I., Kantipong A., Lacbawan F., Bowers P., et al.: Reduced NODAL signaling strength via mutation of several pathway members including FOXH1 is linked to human heart defects and holoprosencephaly. Am. J. Hum. Genet. 83, 18-29, 2008.





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