I am Anastasios Nikolas Angelopoulos, a sixth-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 Gordon Wetzstein and Stephen P. Boyd. A copy of my CV is available below.
Theoretical statistics + black-box machine learning models. How can we do statistics with ML in the loop, and no assumptions on the model at all? I'm especially interested in simple, easy-to-use algorithms with formal mathematical validity guarantees. Much of my work has centered around conformal prediction and prediction-powered inference.
Evaluations. How do we effectively test and evaluate models to make sure they are safe and performant? I helped build the leading online platform for evaluating Large Language Models, Chatbot Arena. I have also thought about methods for autoevaluation: using synthetic data for efficient and cost-effective evaluation.
Computer vision, computational imaging, biomedicine. My research career began in imaging and clinical medicine, and these are still my greatest motivations. I seek to build computational and statistical systems that change the way we understand the human body and treat diseases. End-to-end approaches involving automatic vision-based reconstruction, recognition, and decision-making often excite me most.
Music. I sing, play the guitar/piano/bass, produce, and frequently record music with my friends. Please reach out if you want to jam!
At Berkeley, I am the recipient of the Leon O. Chua Department Award. I was generously supported by a National Science Foundation Graduate Research Fellowship and a Berkeley Fellowship. I am also a Sequoia Open Source Software Fellow. At Stanford I was a National Merit Scholar and received 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.
You can contact me via email:
angelopoulos@berkeley.edu
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