About me

I am a computational biologist with software engineering chops working of the interface of ML/DL and biology. I build tools for high throughput biological data and then use them to generate new discoveries. I am interested in interpretable AI for mechanistic understanding of biology and its drug discovery applications.

Currently, I have a postdoc role at Anne Carpenter and Shantanu Singh’s Lab, at the Broad Institute of MIT and Harvard.

On a personal level, I enjoy multi-day hikes, bikepacking trips and, more recently, I got into board games.

My current projects

• cp_measure: Featurise objects in images (microscopy or otherwise).
• nahual: Transfer data between running Python instances for dependency-free deployment of complex models and algorithms (mostly deep learning models).
• The Imaging platform monorepo: A collection of tools used by the Broad Institute’s Imaging platform.
• aliby: End-to-end processing of high throughput microscopy time lapses.
• Nix Config: Fully reproducible computing environments for both multi-user workstations/servers and a personal Macbook.