I am a fourth-year Ph.D. candidate in Electrical Engineering and Computer Sciences at UC Berkeley, advised by Jennifer Listgarten and Michael I. Jordan. I am a member of BAIR and work broadly on statistical learning and inference methods for engineering biological systems. Prior to Berkeley, I was a Google AI Resident and also conducted marine biologging fieldwork with Kakani Katija at the Monterey Bay Aquarium Research Insitute. I received my B.S. in Computer Science in 2016 from Stanford University, where I was fortunate to work with Marius Cătălin Iordan, Fei-Fei Li, and Stephen Boyd. My work is generously supported by an NSF Graduate Research Fellowship.

Beyond research, I am an avid hiker, religious fan of artistic gymnastics, and proud mom to an extraordinary son.

I can be reached at clarafy at berkeley dot edu.

select recent work

  • Clara Fannjiang, Stephen Bates, Anastasios N. Angelopoulos, Jennifer Listgarten, and Michael I. Jordan. 2022. Conformal prediction for the design problem. arXiv code

  • Clara Fannjiang and Jennifer Listgarten. Autofocused oracles for model-based design. NeurIPS 2020. arXiv proceedings code

  • Clara Fannjiang, T. Aran Mooney, Seth Cones, David Mann, K. Alex Shorter, and Kakani Katija. 2019. Augmenting biologging with supervised machine learning to study in situ behavior of the medusa Chrysaora fuscescens. Journal of Experimental Biology, 222, jeb207654. PDF publication jellyfish footage code

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"A man can't be always defending the truth; there must be a time to feed on it."
C. S. Lewis, Reflections on the Psalms (1958)