Intro

Hi – I’m Eugene. I love solving complex problems at the intersection of science, technology, and healthcare – and I’m happiest when my work benefits society. I’m an ML Scientist at Fable, where I apply generative models to design novel antibody-based drugs aimed at improving metabolic health. Before Fable, I worked on in silico peptide design at Menten.ai and built tools for AI diagnostics at Denti.ai and NeuroopticDx.

I hold a PhD in Physics from the University of Toronto (supervisor: Dr. Sarah Rauscher). In my research, 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. You can read more about my PhD research or look through publications.

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.

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. My CV is available here.