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Keegan HarrisEmail: keeganh [at] cs.cmu.eduTwitter: @keegan_w_harris Google Scholar CV |
I am a Machine Learning PhD Candidate at Carnegie Mellon University, where I am advised by Nina Balcan and Steven Wu. I am fortunate to be supported by the NDSEG Fellowship and selected as a Rising Star in Data Science. I am also the editor-in-chief of the ML@CMU blog. Fill out this form if you have a CMU affiliation and are interested in writing a blog post about your research!
In Summer 2024 and Summer 2023 I was a research intern at Microsoft Research with Alex Slivkins. I have also consulted for Vitable Health and US Innovative Technology. I obtained a Master of Science degree in Machine Learning from Carnegie Mellon in 2022. Before coming to CMU, I graduated summa cum laude from Penn State University with Bachelor of Science degrees in Computer Science and Physics, where I also did research at the Applied Research Laboratory and the US Naval Research Laboratory.