Welcome to my Research and Learning Blog

Welcome to my blog!

I’ll use this space to write short explainers, document ideas, and share thoughts on topics I’m working through. The goal is posts in the spirit of a good course lecture note — clear, honest, and interactive where it helps.

What to expect

Expect posts on things I’m actively learning or thinking about:

• Distributed systems for science: the pipeline and data engineering side of large scientific instruments
• Signals and sensing: RF systems, phased arrays, radar, the physics of how we measure the world
• Physics-informed ML: incorporating physical priors into neural networks, operator learning, simulation surrogates
• Computational imaging: image formation, inverse problems, the math of turning measurements into pictures
• Math & Statistics: brief derivations and interactive visuals of core concepts in my work

If you’re interested in similar things, feel free to explore. The search bar (⌘K) indexes the full text of every post.