PhD Candidate, University of Michigan
I’m a graduate student in Computer Science and Engineering at the University of Michigan, advised by Professor Chad Jenkins. My research interests are in advanced computing topics and especially those that make connections between nondeterminstic computing, probabilistic inference, and perception for robotics.
I’m proud to be a recipient of the Qualcomm Innovation Fellowship. I earned my BSE (2014-2018) and MSE (2019-2020) in computer science at the University of Michigan. Between degree programs, I worked on applied machine learning research at MIT Lincoln Laboratory.
“Nobody ever figures out what life is all about, and it doesn’t matter. Explore the world. Nearly everything is really interesting if you go into it deeply enough. Work as hard and as much as you want to on the things you like to do the best. Don’t think about what you want to be, but what you want to do.” — R. P. Feynman
“Study hard what interests you the most in the most undisciplined, irreverent and original manner possible.” — R. P. Feynman
“A month in the laboratory can often save an hour in the library.” — F. Westheimer
“Chase the state, not the observation.” — O. C. Jenkins