Tom Hartvigsen

Assistant Professor

Data Science

University of Virginia

(Office: 1919 Ivy Rd., Rm. 339)


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News

Oct'24: New preprints on isolating math skills in LLM weights, attacking VLMs with model edits, LLMs resisting misinformation requests, and high-dimensional action spaces in Offline RL. Paper accepted to IEEE BigData on spike train classification.

Sep'24: Three papers accepted to NeurIPS'24!

Sep'24: Three papers accepted to EMNLP'24!

Aug'23: Paper accepted to TMLR on using LLMs for robust text classification

July'24: Paper accepted to COLM'24 on multilingual toxicity in LLMs. Paper accepted to AIES'24 on detecting implicit social biases in VL models

July'24: New preprints on composable interventions for LLMs and extracting social determinants of health with LLMs

June'24: Paper accepted to MICCAI'24 on federated learning for medical imaging

May'24: Paper accepted to ACL'24 on categorical knowledge editing for LLMs

Apr'24: Nature Medicine paper on bias in computational pathology

Spring'24: Invited talks at Dartmouth, IBM Research, UCSF/UC Berkeley, and the University of Alabama, Birmingham

Hi! I'm a tenure-track Assistant Professor of Data Science and, by courtesy, Computer Science at the University of Virginia. I joined UVA in Fall 2023. Before that, I was a postdoc at MIT CSAIL working with Marzyeh Ghassemi. I did my PhD in Data Science at WPI where I was advised by Elke Rundensteiner and Xiangnan Kong.

I am recruiting 1-2 creative and driven PhD students to start Fall 2025 (see the Research Group page for details)

Research

My research group works on machine learning and natural language processing. We work to enable responsible model deployment in ever-changing environments, with applications to biomedical data science.

Active directions and highlights:


In the News

Misc

Outside of research, I enjoy bouldering, biking, books (science fiction/science fact), birding, juggling, vegan cooking, and playing guitar. I also spent a summer living at BioSphere 2 in Arizona.