Curriculum Vitae
Education
2019–2024 • Ph.D. in Computer Science, University of Illinois at Urbana-Champaign (w/ Prof. Sanmi Koyejo)
2022–2024 • Visiting Ph.D. Student, Stanford University
2015–2019 • B.S. with Honors in Mechanical Engineering (Minors: Mathematics, Computer Science), Texas A&M University
Appointments
2025–present • AI Center Fellow in Residence, Schmidt Sciences
2024–present • Postdoctoral Researcher, MIT (Healthy ML Lab, w/ Prof. Marzyeh Ghassemi)
2025–present • Postdoctoral Scholar, Eric and Wendy Schmidt Center, Broad Institute of MIT and Harvard
Selected Industry & Lab Experience
2023–2024 • Research Intern, Max Planck Institute for Intelligent Systems (w/ Dr. Moritz Hardt)
2023 • Machine Learning Intern, Cruise LLC
2022 • Student Researcher, Google Brain / Google DeepMind (w/ Dr. Alex D’Amour)
2017–2022 • R&D Intern, Sandia National Laboratories (w/ Dr. Eric Goodman)
Honors & Awards
Schmidt Sciences AI Center Fellowship • Best Paper, NeurIPS 2025 Workshop on Evaluating the Evolving LLM Lifecycle • NeurIPS 2025 Top Area Chair • NYU Tandon Faculty First-Look Fellow • Georgia Tech FOCUS Fellow • Sloan Scholarship • Beckman Graduate Research Fellowship • GEM Associate Fellowship • NSF Miniature Brain Machinery Traineeship • ICML 2022 Top Reviewer (10%)
Service
Academic.
– Organizing: Program Chair, EurIPS Workshop on the Science of Benchmarking and Evaluating AI (2025) • Program Chair, ML4H (2025)
– Editing & Area Chairing: Action Editor, TMLR (2026) • Area Chair, NeurIPS (2024–2026; Top AC 2025) • Area Chair, ICML (2025) • Area Chair, ICML TF2M (2024)
– Reviewing: NeurIPS (2022–2024) • NeurIPS Position Papers (2025) • NeurIPS LLM-eval Workshop (2025) • NeurIPS AFCP Workshop (2022) • NeurIPS BAI Workshop (2021) • ICML (2022–2024; Top Reviewer 2022) • AISTATS (2022) • JMLR (2023–2024) • Nature (2025) • Nature Medicine (2025) • NEJM (2024) • Oxford Handbook of Cognitive Enhancement and Brain Plasticity (2024)
MIT. Organizer, AI for Society Seminar (2024–present) • Organizer, LIDS Conference (2025) • Volunteer, Women in Data Science Worldwide (2025)
Stanford. Mentor, LINXS Program (2024)
UIUC. Executive Board, Black, Indigenous, and Latinx in Tech (2022–2024) • Mentor, Directed Reading Program (2022–2024) • Subcommittee Member, Broadening Participation in Computing (2021–2022) • Affiliate Member, IDEA Institute (2020–2024) • Graduate Student Representative, Graduate Study Committee (2022) • Mentor, Graduates Engineers Diversifying Illinois (2020–2022) • Mentor, DREU (2021)
Texas A&M. Chair, Brown Engineering Honors Program (2018–2019) • President, Robotics Team (2018–2019) • Mentor, Regents Scholar Program (2017–2019)
Outreach. Mentor, Black in AI: Emerging Leaders in AI Program (2024–present) • Mentor, iAAMCS (2023–present)
Mentoring
I am happy to mentor students with overlapping research interests. Particularly for undergrads at MIT, programs like UROP are a great mechanism for mentorship. I am also very happy to give advice on applying to and navigating graduate programs in computer science, especially for those to whom this type of guidance would be otherwise unavailable.