💼 What I Do:
I'm a Staff Researcher at Carnegie Mellon University's Robotics Institute, leading applied machine learning projects across multiple domains: real-time forecasting of patient risk 🏥, battlefield triage 🔺, radiation detection ☢️, robotics 🤖, nuclear physics , hyperspectral imaging for geophysics 🛰️, computational chemistry 🧪, and radio frequency signal processing 📡. These are all active projects I'm directly responsible for. They just happen to span across disciplines.

🛠 Coding Interests:
Experienced with Python, C++, and JavaScript/TypeScript. Enthusiast of Linux and VS Code (with vim bindings, of course 🥸). Lately, I've been exploring Polars for efficient DataFrame operations, Numba for accelerating numerical computing, and uv for fast Python environments.

🎓 Education:
Ph.D. in Nuclear Physics from Michigan State University, with research conducted at the National Superconducting Cyclotron Laboratory (NSCL), now known as the Facility for Rare Isotope Beams (FRIB). It is home to the world's 🌎 most powerful heavy-ion accelerator for rare isotope science!

🧠 External Brain:
I share code snippets and technical notes on my Gist page, which I frequently refer to myself:

🤝 Collaboration Welcome:
If you think there's something where your domain expertise 🤯 could benefit from machine learning, reach out 🤙! Our lab is deeply interested in interdisciplinary applications of artificial intelligence and machine learning, and we've spent decades working with partners from the industry, academia, and government.

🔗 Let's Connect:
If you're interested in collaboration or discussions about science, software, or AI, feel free to reach out.

To avoid spam, I do not list my email publicly. You can connect with me via:

I used to publish more personal projects here, but most of my current work involves larger collaborations that are not yet open source 😿. I hope to share some of these projects in the near future, pending internal reviews or publication.