Summary
Atif Afzal is a Senior Research Scientist with over a decade of experience merging molecular modeling and machine learning to accelerate materials and formulation discovery. He has led multi-year industry collaborations and integrated machine-learned force fields, active learning, and automated coarse-grained workflows to solve complex problems in materials and pharma. Comfortable operating across cloud and HPC environments, Atif balances hands-on algorithm design with project and budget management to deliver customer-facing discovery outcomes. His background spans first-principles quantum chemistry, virtual high-throughput screening, and scalable ML pipelines—evident from work that produced deep neural models for millions of molecules and automated chemical library generators. Based in Portland, he recently transitioned from a long tenure at Schrödinger to a senior research role at Amazon, bringing both scientific depth and product-focused execution to computational materials challenges.
10 years of coding experience
14 years of employment as a software developer
Indian Institute of Technology Kanpur
Doctor of Philosophy - PhD, Chemical Engineering, Doctor of Philosophy - PhD, Chemical Engineering at University at Buffalo