CV

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Experience

  • Oct 2026 – now

    AI Policy Research Fellow

    Cambridge Boston Alignment Initiative, under Stephen Casper · Cambridge, MA
    • Analyzing early vs. modern governance regimes for emerging technologies (commercial aviation, nuclear power, and data privacy) to forecast how early AI governance approaches will fail and evolve.
  • Aug 2026 – now

    Mentor, AI Safety Said Simply

    SPAR (Supervised Program for Alignment Research) · Remote
    • Reviewed 170 applicants, interviewed 17 candidates, and selected a 5-person team.
    • Set the project's direction, goals, and milestone plan; scoped workstreams to each team member's strengths.
  • Aug 2026 – now

    Mentee, Topics in AI Strategy and Futurism

    SPAR (Supervised Program for Alignment Research) · Remote
    • Writing policy articles surveying emergency powers and escalatory frameworks after catastrophe.
  • Jun 2026 – Oct 2026

    AI Safety Research Fellow

    Second Look Research, University of Chicago Existential Risk Laboratory (XLab) · Chicago, IL
  • May 2023 – May 2026

    Human Systems Integration Researcher

    NASA Ames Research Center / SJSURF · Moffett Field, CA
    • Analyzed pilot anticipatory monitoring performance across a pre-test/intervention/post-test web-based study of 38 airline pilots, contributing to findings of significant post-tutorial gains on scenario-based assessment tasks.
    • Contributed to three publications, including the Best Overall Paper at HFES ASPIRE 2025, and to technical memorandums submitted for government use.
    • Visualized statistical findings on >2,000 data points in RStudio and formalized method descriptions and cognitive findings.
  • Jan 2023 – May 2026

    Program Manager

    Science Corps · Remote
    • Managed recruitment and placement of PhD fellows in underprivileged communities abroad, coordinating with university graduate programs.
    • Led strategic planning and outreach supporting fellow operations and multi-year program growth.
  • May 2025 – Aug 2025

    Applied ML Software Engineering Intern

    Apple · Cupertino, CA
    • Designed and deployed an internal LLM-based tool streamlining Quality Engineering workflows, reducing manual testing overhead and improving bug detection accuracy.
    • Built an end-to-end ML pipeline from data preprocessing to model deployment, expanding use across Quality Engineering and Software Engineering teams.
  • Sep 2025 – Jun 2026

    Rubin Observatory ML and Optical Astrophysics Student Researcher

    Legacy Survey of Space and Time, SLAC Laboratory · Berkeley, CA
    • Characterized thermal drivers of telescope focus drift using Pearson correlation, OLS/Ridge regression, and PCA across 13 thermal sensors and 23 open-loop stability runs, for a first-authored honors thesis.
    • Found thermal-focus coupling to be distributed across multiple mechanisms and timescales, ruling out simple linear models and motivating nonlinear and multivariate approaches.
    • Thermal Predictors of Open-Loop Focus Drift at the Vera C. Rubin Observatory, LSST Technical Note SOTN-005.
  • Jan 2026 – Apr 2026

    Computer Vision Student Researcher

    UC Berkeley School of Information, Farid Lab · Berkeley, CA
    • Benchmarked image reconstruction systems, from linear and nearest-neighbor to denoising, deblurring, and super-resolution, against OCR and human perceptual baselines.
  • Jan 2024 – May 2025

    Machine Learning Research Intern

    Innovative Genomics Institute, Rubin Lab · Berkeley, CA
    • Optimized training for a 229M-parameter genomic LLM trained from scratch, evaluating novel sequence outputs via BLAST, Foldseek, and InterPro.

Education

  • May 2026

    University of California, Berkeley

    B.A. Computer Science, College of Computing, Data Science, and Society · GPA 3.95 B.A. Astrophysics, College of Letters & Sciences · Honors Distinction
    • Relevant coursework: AI Public Policy, Data Ethics, Cybersecurity, Deep Learning, Computability & Complexity, Cognitive Science, Probability.

Awards

  • Department Honors, Astrophysics, College of Letters & Sciences
  • Dean's List, College of Computing, Data Science, & Society; College of Letters & Sciences
  • Best Overall Paper, HFES ASPIRE Aerospace Systems 2025, for Measuring anticipatory monitoring skills using a crew briefing task

Publications & writing

  • Reductions. proofbyvibes.substack.com. Public writing translating AI safety concepts for non-technical audiences.
  • Corry, C. (2026, September). Yet Another Concerning Result on Astra's No-CoT Capabilities. LessWrong. Read
  • Corry, C. (2026, August). Single Forward Pass Evals on Fable, Opus 5, and GPT-5.6-Sol. LessWrong. Read
  • Corry, C. (2026). Thermal Predictors of Open-Loop Focus Drift at the Vera C. Rubin Observatory. LSST Technical Note SOTN-005. sotn-005.lsst.io · Honors thesis PDF
  • Billman, D., Baron Jr, B., Corry, P. C., Cusano, L., Peterson, M., & Mumaw, R. J. (2025). Measuring Anticipatory Monitoring Skills Using a Crew Briefing Task. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting. doi.org/10.1177/10711813251360012. Best Overall Paper, HFES ASPIRE Aerospace Systems 2025.
  • Peterson, M., Baron Jr, B., Cusano, L., Corry, P. C., & Billman, D. O. (2025). Scenario-Based Task Design for Airline Pilot Anticipatory Behaviors: Asynchronous Assessment of Complex Cognitive Skills. Journal of Applied Instructional Design. doi.org/10.59668/2222.21502
  • Billman, D., Baron Jr, B., Corry, P. C., Cusano, L., Peterson, M., & Mumaw, R. J. (2025, May). Initial Measures Show Web-Delivered Learning Module Improves Pilots' Monitoring and Anticipation. Proceedings of the 23rd International Symposium for Aviation Psychologists. NTRS
  • Corry, C. (2026). Optimized for agreement: Sycophancy, RLHF, and the political economy of AI validation. Unpublished manuscript, University of California, Berkeley. PDF
  • Corry, C. (2026). Deepfakes and democratic integrity: A policy framework for AI-generated political content. Unpublished manuscript, Goldman School of Public Policy, University of California, Berkeley. PDF

Extracurriculars

  • XLab Strategy and Forecasting Reading Group, Facilitator · Jun 2026 – Aug 2026
  • CDSS Dean's Undergraduate Leadership Forum, Advisor · Oct 2025 – May 2026
  • Motorsport Mechanics of Berkeley, Treasurer · Jan 2025 – now
  • California Youth Crisis Line, Crisis Hotline Volunteer · May 2021 – Mar 2022
  • Women in Politics, Magazine Manager · Jun 2021 – Sep 2022

Skills

Languages: Python, Java, C, C++, R, SQL, NoSQL, Swift

Libraries & frameworks: PyTorch, Hugging Face, scikit-learn, XGBoost, FastAPI, Astropy, Photutils, W&B, Tinker

Other: Statistical modeling, data visualization, cross-functional and technical communication, crisis intervention, advocacy