Bio AI Researcher

Leading the BioReason team with Vector Institute to build reasoning foundation models that connect DNA, proteins, and disease pathways using reinforcement learning and multimodal biology.

Machine Learning Engineer Intern

Built large-scale synthetic data pipelines across 1,024 GPUs, boosting math reasoning in foundation models and integrating real-time monitoring with Kubernetes and Grafana.

Machine Learning Researcher

First-authored CodonTransformer (Nature Communications), a model that optimizes DNA sequences for protein expression across 160+ species, now used by thousands of biologists worldwide.

Health AI Researcher

Developing MedRAX, a medical reasoning agent for chest X-rays that combines vision-language models with clinical tools, open-sourced with 700+ stars and 1M+ views.

Applied Machine Learning Engineer Intern

Published EHRMamba (ML4H ’24), an efficient EHR foundation model, and co-led multimodal model training on 17M+ biomedical image-text pairs for medical representation learning.

AI Research Collaborator

Co-first authored NeurIPS ’25 work investigating privacy and memorization risks in healthcare foundation models trained on de-identified data.