Solving complex problems at the intersection of science, technology & healthcare.
I'm a machine learning scientist at Fable Therapeutics, where I help design new antibody-based medicines for people with metabolic disease.
ML Scientist at a biotech startup
At Fable, I develop and apply machine learning methods for antibody design and property optimization. My tools include anything from protein language and structure prediction models to generative models and active learning. I run analyses that support candidate screening, developability assessment, and finding sequence-functional relationship in preclinical discovery. Additionally, I help build the underlying platform: workflow automation, research tools, and production pipelines.
I work closely with experimental scientists and project partners on library design, experiment interpretation, and data-driven decision-making, connecting in silico and in vitro R&D.
Biotech & AI diagnostics in healthcare
Before Fable, I worked on computational peptide design at drug-discovery startup Menten.ai.
I also built computer vision and machine learning tools for diagnostics. At Denti.ai, I developed models for dental X-ray analysis and dental pathology detections. At NeuroopticDx, I worked on computer-vision and time-series models for facial video and micro eye movement data, focused on neuro-diagnostic 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.