Hi, my name is Eugene, and I enjoy solving complex problems at the intersection of science, technology, and healthcare.

ML Scientist II at Grove Biopharma

At Grove, I use machine learning and computational protein design to help develop protein-based therapeutics to treat cancer. My work connects model-driven design, experimental feedback, and practical discovery decisions.

Biotech & AI diagnostics in healthcare

Before Grove acquired my team, I was at Fable Therapeutics, focusing on de novo antibody design and property optimization. Earlier, at drug-discovery startup Menten.ai, I contributed to computational peptide design.

I have also built computer vision and machine learning tools for healthcare diagnostics. At Denti.ai, I developed models for dental X-ray analysis and pathology detection. Later, at NeuroopticDx, I applied computer vision and time-series modeling to facial video and micro eye movement data, with a focus on neurodiagnostic research.

Protein structure, dynamics & function

I hold a PhD in Physics from the University of Toronto (supervisor: Dr. Sarah Rauscher). I investigated fundamental properties of protein molecules in various environments using simulations, with the goal of understanding the relationships between protein structure, dynamics and function. That work relied on statistical analysis, machine learning, and high-performance computing for understanding large, time-dependent biological data.

Courses, workshops & mentoring

I enjoy teaching and breaking down technical topics for diverse audiences. I've taught university courses and run workshops on mathematical modeling, programming, and machine learning. See a few of my tutorials from the Computational Modeling in Physics course at U of T.

Triathlon & beyond

Outside my work, I'm an avid triathlete -- you'll often find me training with the University of Toronto Triathlon Club on the road, track, or in the water. If you want to collaborate or just chat about science, code, or training plans, get in touch.