I am Anastasios Nikolas Angelopoulos, a second-year Ph.D. student at the University of California, Berkeley. I am privileged to be advised by Michael I. Jordan and Jitendra Malik. From 2016 to 2019, I was an electrical engineering student at Stanford University advised by Stephen P. Boyd.
I work on theoretical machine learning with applications in vision and healthcare. My goal is to apply modern statistical ideas to increase robustness of black-box models like deep neural networks. I am motivated by medical diagnostics: statistical reliability will become paramount as computer vision and machine learning become ubiquitous in such high-risk settings. My other applied interests include computational imaging and ophthalmology.
I am generously supported by a National Science Foundation Graduate Research Fellowship and a Berkeley Fellowship. At Stanford I was a National Merit Scholar and the only electrical engineer to win the Terman Award, Phi Beta Kappa, Tau Beta Pi, and departmental distinction. In a past life I was a national champion debater and member of the US National Debate Team.
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