This is the first post on my new blog. I plan to write about the intersection of machine learning and surgical robotics — the problems we solve, the tools we build, and the lessons we learn along the way.

Why this blog?

Research moves fast. By the time a paper is published, the codebase has already evolved three times. This space is an attempt to close that gap: share practical insights that do not fit into a publication but are invaluable to anyone building similar systems.

What to expect

Deep dives into reinforcement learning for medical robotics
Dataset curation strategies for sparse, high-stakes domains
Engineering decisions around simulation-to-real transfer
Thoughts on open-source tooling in academic research

Stay tuned.