I am a first-year PhD student at MIT CSAIL, advised by Dylan Hadfield-Menell. My research interests center on aligning AI systems — such as reinforcement learning systems and large language models — with human goals. I am also interested in the theoretical foundations of alignment and the intersection of machine learning and causality.

Previously, I obtained my bachelor's degree at Johns Hopkins, where I worked with Professor Rene Vidal on the theory of deep learning. During undergrad, I also worked with Dyno Therapeutics and NASA on biological sequence design using machine learning, combinatorial optimization, and quantum computing.

See my Google Scholar for an up-to-date list of publications.

Outside of work, I enjoy playing piano, backpacking, salsa dancing, and philosophy.

Send me an email at stew@csail.mit.edu if you want to talk :)

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