Anastasios Angelopoulos

Ph.D. student in Electrical Engineering and Computer Science
at the University of California, Berkeley

Student of Michael I. Jordan and of Jitendra Malik
Co-Founder of MHR Vision

Research interests

Theoretical machine learning, computer and human vision, mathematical optimization, deep learning, statistics, computational imaging. Applications to ophthalmology, medical engineering, medical diagnostics, and telemedicine.


May, 2020 The Harvard Data Science Review recently published my paper on COVID-19 as part of the special issue, COVID-19: Unprecedented Challenges and Chances.

September, 2019. I graduated from Stanford University 🌲 and began a Ph.D. at the University of California, Berkeley 🐻.

April, 2019 I have been named an NSF Fellow and a Berkeley fellow.

Recent publications
    • A. Angelopoulos
    • R. Pathak
    • R. Varma
    • M. I. Jordan
    On Identifying and Mitigating Bias in the Estimation of the COVID-19 Case Fatality Rate. 2020. [HDSR]
    • A. Angelopoulos*
    • J. Martel*
    • A. P. Kohli
    • G. Wetzstein
    Event-Based, Near-Eye Gaze Tracking Beyond 10,000Hz. 2020.