I'm an MSc student (transitioning to PhD) in computer science at the University of Toronto under the supervision of Dr. Michał Koziarski and Dr. Mike Brudno.
My interests lie broadly in probabilistic machine learning and algorithmic decision-making with applications in science.
In particular, I am currently focused on Bayesian optimization for drug discovery.
Before that, I received a B.S. in applied mathematics with minors in computer science and physics from the University of Colorado Boulder.
Before that, I received a B.S. in applied mathematics with minors in computer science and physics from the University of Colorado Boulder.
Updates
Sep 2026
[New paper!] "Hit Expansion via Localized Exploration of Chemical Space" accepted at NeurIPS 2026
Sep 2026
Transitioning to PhD program at UofT!
Aug 2026
Awarded the Queen Elizabeth II Graduate Scholarship in Science and Technology (QEII-GSST)
Nov 2025
[New paper!] "Hash Collisions in Molecular Fingerprints: Effects on Molecular Property Prediction and Bayesian Optimization" accepted at NeurIPS 2025 AI4Science workshop
Sep 2025
Starting MSc in computer science at UofT with Koziarski Lab!