About Me

I build the platforms that scientific research and manufacturing run on.

I work at a biologics company, where I own most of the stack: event-driven ingestion from lab instruments, orchestration pipelines, a medallion lakehouse with schema contracts, PostgreSQL backends, and the APIs and dashboards our internal applications sit on. It’s an FDA-regulated environment, which shapes a lot of how it gets built.

I also ship models for antibody design and property prediction, trained with PyTorch DDP on an in-house multi-GPU cluster I help maintain, plus the inference infrastructure that serves them.

Before this I spent seven years on a PhD in biomedical engineering at the University of Washington, working with MRI (structural, functional, diffusion, arterial spin labeling) and building machine learning models on top of it, including graph neural networks for cortical segmentation. Processing and training ran across GPU-backed HPCs.

Outside of work I like backcountry skiing, trail running, travel, practicing new languages, and gardening.