Victoria R. Li
Email: vrli [at] college [dot] harvard [dot] edu

Hi! I'm Victoria, a student at Harvard studying Computer Science and Statistics (with some Mind Brain & Behavior and Economics mixed in). I work on AI research at the Harvard Kempner Institute and Insight + Interaction Lab, where I'm fortunate to learn from and collaborate with wonderful people, including Martin Wattenberg, Naomi Saphra, Yonatan Belinkov, and David Alvarez-Melis.

I'm interested in interpretability and human-AI interaction. I'm also excited about intersections of AI with biology, health, and cognitive science.

Outside of research, I've spent time singing, teaching, supporting women in CS, and thinking about tech for global health and AI safety.

Publications
Does Visualization Help AI Understand Data?
Does Visualization Help AI Understand Data?
Victoria R. Li*, Johnathan L. Sun*, Martin Wattenberg
IEEE Visualization (VIS) (Nov 2025)
Can Interpretation Predict Behavior on Unseen Data?
Can Interpretation Predict Behavior on Unseen Data?
Victoria R. Li*, Jenny Kaufmann*, Martin Wattenberg, David Alvarez-Melis, Naomi Saphra
Under Review, 3 associated workshop papers @ NeurIPS SciForDL and MechInterp
ChatGPT Doesn't Trust Chargers Fans
ChatGPT Doesn't Trust Chargers Fans: Guardrail Sensitivity in Context
Victoria R. Li*, Yida Chen*, Naomi Saphra
Empirical Methods in Natural Language Processing (EMNLP) (Nov 2024)
Widespread Impact of Natural Genetic Variations in CRISPR/Cas9 Outcomes
Widespread Impact of Natural Genetic Variations in CRISPR/Cas9 Outcomes
Victoria R. Li, Tinghui Wu, Alicja Tadych, Aaron Wong, Zijun Zhang
The CRISPR Journal (Oct 2024)
CROTON: An Automated and Variant-aware Deep Learning Framework
CROTON: An Automated and Variant-aware Deep Learning Framework for Predicting CRISPR/Cas9 Editing Outcomes
Victoria R. Li, Zijun Zhang, Olga Troyanskaya
Bioinformatics (Jul 2021)