Summary
Tanvir Sajed is a computing scientist and software engineer with 12 years of experience building applied AI and bioinformatics systems, currently pursuing a PhD in Artificial Intelligence in Drug Discovery at UBC while working as a Graduate Research Assistant at the Vancouver Prostate Centre. He has blended academic rigor and product delivery—authoring 25+ papers, holding a patent, and earning over 15,000 citations—while leading ML research and production at institutions like The Metabolomics Innovation Centre and Huawei. His work spans graph neural networks for NMR chemical shift prediction, deep reinforcement learning frameworks deployed at scale, and end-to-end ML pipelines for drug–protein interaction and metabolomics databases. Comfortable from low-level firmware to distributed GPU training, he has co-founded a startup and shipped high-traffic bioinformatics web services, showing both entrepreneurial drive and systems engineering depth. Notably, he combines domain expertise in chemistry and genomics with advanced ML techniques, enabling translational research that moves models into real-world scientific platforms.
12 years of coding experience
8 years of employment as a software developer
Master of Science (M.Sc.) Computer Science, Master of Science (M.Sc.) Computer Science at University of Alberta
Doctor of Philosophy - PhD Artificial Intelligence in Drug Discovery, Doctor of Philosophy - PhD Artificial Intelligence in Drug Discovery at The University of British Columbia
English, Bengali