Developing AI software for drug discovery ranging from generative AI and biophysical property prediction to 3D modeling

Focusing on applications of Graph Neural Networks on drug response, de novo identification of nanopore modifications, and predicting hospitalization, probability of death, and side effects based on demographic data for any number of drugs prescribed.

Course: Advanced Computational Genomics

I was a TA for the same course from March 2019-June 2019

Course: Bioethics in the 21st Century

Developed Explainable Graph-based Deep Learning models.

Characterized gene splicing patterns in a global and local (per gene) scope.

Identified outlier RNA-seq signatures based on their splicing profile.