Background

Originally trained in basic sciences, my research journey has equipped me with a multifaceted perspective on any research project. With a strong foundation in basic sciences, clinical research, advanced expertise in genetics and bioinformatics, and training in mathematics, computer programming, and machine learning, I approach research challenges from a interdisciplinary view-point. This unique combination enables me to leverage artificial intelligence effectively, solving complex problems through an integrated lens.

Journey

2014-2018

I completed my basic science training at the University of Western Ontario and conducted research under the mentorship of Dr. Donald Welsh. My work focused on blood flow dynamics, allowing me to develop expertise in physiology and translational intersect between physics and medicine.

2018-2020

I earned my Master’s under Dr. Rachel Tyndale at the University of Toronto. I developed expertise in deep genetic sequencing, programming, and statistics. My research focused on gene expression and predicting the impact of rare genetic variants on clinical outcomes, equipping me with valuable bioinformatics skills for future challenges.

2020-2021

Motivated to specialize in complex computational modeling, I dedicated 20 months to online courses in machine and deep learning, complemented by university studies in data structures, system programming, and linear algebra. This comprehensive training strengthened my foundation in mathematics and computer science.

2021-Present

Motivated to specialize in complex computational modeling, I dedicated 20 months to online courses in machine and deep learning, complemented by university studies in data structures, system programming, and linear algebra. This comprehensive training strengthened my foundation in mathematics and computer science.