Danielle Bitterman: Proud of Shan Chen for the 2024 Google PhD Fellowship
Danielle Bitterman, Assistant Professor at Harvard Medical School, shared a post on LinkedIn:
“Incredibly proud of Shan Chen for being selected for the 2024 Google PhD Fellowship in Natural Language Processing!!! So excited to see how Shan’s contributions will continue shaping the future of clinical NLP. This recognition couldn’t be more well-deserved; Shan is a joy to work with, a true team player, and wonderful teacher who keeps us all learning and evolving. Below are some highlights of Shan’s prior work, many of which are also summarized in this post.
Evaluating risks of LLMs for clinical applications:
- Use of Artificial Intelligence Chatbots for Cancer Treatment Information
- The effect of using a large language model to respond to patient messages
- Evaluating the ChatGPT family of models for biomedical reasoning and classification
LLM robustness, bias, and safety evaluations:
- Cross-Care: Assessing the Healthcare Implications of Pre-training Data on Language Model Bias
- Language Models are Surprisingly Fragile to Drug Names in Biomedical Benchmarks
- Wait, but Tylenol is Acetaminophen… Investigating and Improving Language Models’ Ability to Resist Requests for Misinformation
Language models for automated data mining from EHRs and beyond:
- Large language models to identify social determinants of health in electronic health records
- Natural Language Processing to Automatically Extract the Presence and Severity of Esophagitis in Notes of Patients Undergoing Radiotherapy
- BCH-NLP at BioCreative VII Track 3: medications detection in tweets using transformer networks and multi-task learning.”
Danielle Bitterman is an Assistant Professor at Harvard Medical School and an Attending Physician at Dana-Farber Cancer Institute. She is also an Associate Editor for Radiation Oncology at HemOnc.org. As a physician-scientist, her research focuses on leveraging AI advancements to improve cancer care.
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