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I'm a computer science undergrad. This is my public lab notebook, where I write up paper reviews on embodied AI and valuation memos on companies I'm studying. I think in public and revise as I learn — expect rough edges.
My research interest is in giving robots causal-reasoning abilities and low-level controllers for more precise task completion. I'm also especially interested in tactile sensing for robotics.
Recent writing
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How this notebook works
A quick tour of the Markdown features you can use in posts — callouts, math, footnotes, code, and wikilinks. Delete or edit this once you're comfortable.
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Review: generalist robot policies (VLA) Embodied AI
Notes on vision-language-action models as generalist policies — what the architecture buys you, where the data bottleneck bites, and the evals I'd want to see.
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Valuation memo: Example Co Valuation
A worked two-stage DCF on a fictional Example Co — the assumptions I'd defend, the ones I wouldn't, and the price the model implies.