I am a final-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 on statistical and machine learning 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 was 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.

My email is clarafy at berkeley dot edu. Please reach out if you would like to chat!

select recent work

(\(\alpha\)-\(\beta\)) denotes alphabetical ordering.

  • (\(\alpha\)-\(\beta\)) Anastasios N. Angelopoulos, Stephen Bates, Clara Fannjiang, Michael I. Jordan, and Tijana Zrnic. Prediction-powered inference. 2023. arXiv code talk

  • Clara Fannjiang, Stephen Bates, Anastasios N. Angelopoulos, Jennifer Listgarten, and Michael I. Jordan. 2022. Conformal prediction under feedback covariate shift for biomolecular design. Proceedings of the National Academy of Sciences, 119(43), e2204569119. arXiv publication PDF code bibtex talk

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

recent and upcoming talks

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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)