Danielle Bitterman

Assistant Professor, Radiation Oncology, Harvard University

Joined

June 2023

Names

Danielle Bitterman (Preferred)

Danielle S. Bitterman

Emails

****@dfci.harvard.edu (Confirmed)

Personal Links

Career & Education History

Assistant Professor

Radiation Oncology, Harvard University (harvard.edu)

2023 – Present

Advisors, Relations & Conflicts

Postdoc Advisor

Guergana Savova

2018 – 2021

Expertise

Clinical NLP

Present

Publications

Do They Really Know? Evaluating Large Language Models’ Ability to Reference and Cite Oncology Guidelines
Pietro Belligoli, Timothy A. Miller, Danielle Bitterman
- Artificial Intelligence in Medicine: 23rd International Conference, AIME 2025
- Readers: Everyone
When Models Reason in Your Language: Controlling Thinking Trace Language Comes at the Cost of Accuracy
Jirui Qi, Shan Chen, Zidi Xiong, Raquel Fernández, Danielle Bitterman, Arianna Bisazza
- OpenReview Archive Direct Upload
- Readers: Everyone
MedBrowseComp: Benchmarking Medical Deep Research and Computer Use
Shan Chen, Pedro José Ferreira Moreira, Yuxin Xiao, Samuel Schmidgall, Jeremy L. Warner, Hugo Aerts, Thomas Hartvigsen, Jack Gallifant, Danielle Bitterman
- GenAI4Health 2025 Poster
- Readers: Everyone
MedBrowseComp: Benchmarking Medical Deep Research and Computer Use
Shan Chen, Pedro José Ferreira Moreira, Yuxin Xiao, Samuel Schmidgall, Jeremy L. Warner, Hugo Aerts, Thomas Hartvigsen, Jack Gallifant, Danielle Bitterman
- NeurIPS 2025 LLM Evaluation Workshop Poster
- Readers: Everyone
KScope: A Framework for Characterizing the Knowledge Status of Language Models
Yuxin Xiao, Shan Chen, Jack Gallifant, Danielle Bitterman, Thomas Hartvigsen, Marzyeh Ghassemi
- NeurIPS 2025 poster
- Readers: Everyone
Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action
Jasmine Chiat Ling Ong, Yilin Ning, Mingxuan Liu, Yian Ma, Zhao Liang, Kuldev Singh, Robert T. Chang, Silke Vogel, John CW Lim, Iris Siu Kwan Tan, Oscar Freyer, Stephen Gilbert, Danielle S. Bitterman, Xiaoxuan Liu, Alastair K. Denniston, Nan Liu
- CoRR 2025
- Readers: Everyone
Sparse Autoencoder Features for Classifications and Transferability
Jack Gallifant, Shan Chen, Kuleen Sasse, Hugo J. W. L. Aerts, Thomas Hartvigsen, Danielle S. Bitterman
- CoRR 2025
- Readers: Everyone
LCD benchmark: long clinical document benchmark on mortality prediction for language models
Wonjin Yoon, Shan Chen, Yanjun Gao, Zhanzhan Zhao, Dmitriy Dligach, Danielle S. Bitterman, Majid Afshar, Timothy A. Miller
- J. Am. Medical Informatics Assoc. 2025
- Readers: Everyone
Multi-OphthaLingua: A Multilingual Benchmark for Assessing and Debiasing LLM Ophthalmological QA in LMICs
David Restrepo, Chenwei Wu, Zhengxu Tang, Zitao Shuai, Thao Nguyen Minh Phan, Jun-En Ding, Cong-Tinh Dao, Jack Gallifant, Robyn Gayle Dychiao, Jose Carlo Artiaga, André Hiroshi Bando, Carolina Pelegrini Barbosa Gracitelli, Vincenz Ferrer, Leo Anthony Celi, Danielle S. Bitterman, Michael G. Morley, Luis Filipe Nakayama
- AAAI 2025
- Readers: Everyone
Collaborative large language models for automated data extraction in living systematic reviews
Muhammad Ali Khan, Umair Ayub, Syed Arsalan Ahmed Naqvi, Kaneez Zahra Rubab Khakwani, Zaryab bin Riaz Sipra, Ammad Raina, Sihan Zhou, Huan He, Amir Saeidi, Bashar Hasan, Robert Bryan Rumble, Danielle S. Bitterman, Jeremy L. Warner, Jia Zou, Amye J. Tevaarwerk, Konstantinos Leventakos, Kenneth L. Kehl, Jeanne M. Palmer, Mohammad Hassan Murad, Chitta Baral et al. (1 additional authors not shown)
- J. Am. Medical Informatics Assoc. 2025
- Readers: Everyone

View all 48 publications

Co-Authors

View all 209 co-authors