UC Berkeley
B.A. in Data Science. My coursework and projects connected data science with linguistics, computer science, machine learning, and the social context behind data.
Background / editorial approach
Why I’m
writing.
I work in technology and study computer science. That gives me useful context—not universal expertise. Tech Notes is where I test strong reactions against product details, public evidence, and the people affected.
I aim to separate a technology’s capability from a company’s incentives and from a user’s behavior. All three shape impact, and none should be treated as an excuse for the others.
UT Austin
M.S. in Computer Science in progress, focused on deep learning, machine learning, and generative AI.
Research
Climate-chemistry machine-learning work with UC Berkeley’s Cohen Research Group and chemical-reaction simulation research at UT Austin.
Software engineering
Production experience building features for an NLP application used to detect market misconduct in financial communications.