Mar 20, 2026

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About Me

My name is Anqi (pronounced "ahn-chee") Wang. I am a third-year Statistics PhD student at UC Berkeley with research interests in 1) developing machine learning methods for biomedical discovery, 2) causal inference, and 3) AI safety. I believe in finding a good rhythm—whether it's in a complex dataset, a classic R&B track, or my favorite running route around the Bay.

Education

  • Ph.D. in Statistics Expected May 2029
    University of California, Berkeley
  • B.S. in Statistics; B.S. in Biochemistry & Molecular Biology, summa cum laude May 2024
    Penn State, Schreyer Honors College

    Honors thesis: Understanding the Role of Envelope Protein of Tick-borne Flaviviruses in Vector Specificity.
    Student Marshal, Eberly College of Science; Goldwater Scholarship nominee.

Research Experience

  • Graduate Student Researcher, Applied ML and AI Jun 2025 – Present
    UC Berkeley Department of Statistics — Advised by Bin Yu

    – Developing ML methods for genetic epistasis discovery.
    – Investigating AI safety by analyzing the internal representation geometry and concept separability of large language models.

  • Graduate Student Researcher, Causal Inference May 2026 – Present
    UC Berkeley Department of Statistics — Advised by Sam Pimentel

    – Developing asymptotic theory for observational studies under covariate balance constraints.

Publications & Manuscripts

  • Wang, A., & Yu, B. (2025). Comparing uniLasso and Lasso: New Data Sets and New Metrics. Harvard Data Science Review, 7(3). [link]

  • Das, S., Narayanan, A., Wang, A., et al. (2025). Atomic-resolution structure of a chimeric Powassan tick-borne flavivirus. Science Advances, 11(28). [link]

  • Wang, A., Ward-Caviness, C., Devlin, R., & Bind, M. Estimated effects of short-term controlled ozone exposure on DNA methylation of genes related to lung function. Environmental Epigenetics. [under revision]

  • Ronen, O., Ye, C., Wang, A., Ashley, E., & Yu, B. Next Generation Epistasis Discovery via the PCS Framework. [in preparation]

Teaching Experience

  • Graduate Student Instructor Spring 2026
    UC Berkeley

    Stat 214 (MA applied statistics & ML)

  • Graduate Student Instructor Fall 2026
    UC Berkeley

    Stat 215A (PhD applied statistics & ML)