University of California, San Francisco
I am a PhD student working in machine learning for healthcare at UC Berkeley (and UCSF), where I work with Ahmed Alaa, PhD and Ziad Obermeyer, MD. I obtained a BA in mathematics from Williams College in 2019, where I got to study tropical algebraic geometry 🌴 with Ralph Morisson, PhD (pure math). After Williams, I worked under Lisa Force, MD, modeling global cancer trends 🌍 with the Institute for Health Metrics and Evaluation through 2025 (applied stats, ML). I started at Berkeley as a mathematics PhD student in 2021, obtained an MA in mathematics in 2024, then transferred to Computational Precision Health (applied ML). I am grateful for the support of the NSF-GRFP since 2022.
Email: frances_dean [at] berkeley [dot] edu
Office: Hawk Hill 🚲
Office Hours: None (Fall 2026)
Pronouns: she/her/hers
A Sparse GitHub: Here
Current:
- I am interested in understanding and predicting the late and secondary impacts of cancer and its treatments. My PhD focuses on cancer treatment risk to cardiovascular health (i.e. cardio-oncology 🫀, 🐁).
- I about excited about causal inference → especially what we can (and cannot) say with AI surrogates (for the above and beyond).
- I frequently use longitudinal electronic health records 📈 📅 and ECGs ⚡.
Spring 2025: Teaching Assistant for UC Berkeley PH 132: Artificial Intelligence for Health and Healthcare with Ziad Obermeyer, MD.
Summer 2023: Instructor of Record for UC Berkeley Math 110: Abstract Linear Algebra. Click Here for Course Materials.
Spring 2022: Teaching Assistant for UC Berkeley Math 54: Linear Algebra and Differential Equations with Alex Paulin, PhD.
Fall 2021: Teaching Assistant for UC Berkeley Math 54: Linear Algebra and Differential Equations with Katrin Wehrheim, PhD.