Teaching

Over the years, I have had the privilege of teaching a diverse range of courses that reflect my expertise in applied analytics, bioinformatics, population genetics, and Machine Learning.

As an Assistant Professor at the Department of Industrial Engineering, I have been in charge of the following courses at the undergraduate and graduate levels:

Undergraduate courses

Data Analysis in Engineering II
Applied Data Analytics

Graduate courses

Design of Experiments
Computational Analytics

In addition, I have had the opportunity of teaching at the Department of Mathematics and Statistics, and the Department of Medicine. In those departments, I have offered the following graduate courses:

Bioinformatics
Population Genetics
Advanced Statistics IV

My teaching philosophy centers on fostering analytical thinking, practical problem-solving, and interdisciplinary collaboration.

My courses are designed to equip students with both the theoretical foundations and hands-on skills necessary to address real-world challenges in engineering, data science, and biomedical research.