Head of Clinical NLP
OpenEvidence
Eric Lehman — About Me
My research focuses on the practical deployment of large language models (LLMs) in healthcare settings. I am passionate about understanding how to safely deploy these incredible models to augment clinical decision-making. Specifically, I aim to answer questions such as:
- How can we effectively build accurate LLM-based systems?
- How can we ensure that these models are safe and fair?
- What does it mean for these models to be trustworthy?
To address these questions, I currently serve as the Head of Clinical NLP at OpenEvidence, where I oversee OpenEvidence + ClinicalKey AI, a retrieval augmented generation (RAG) tool that is already being used in several hospital systems! I recently graduated from MIT in May of 2024, where I was advised by the amazing Peter Szolovits. Prior to that, I worked with the fantastic Byron Wallace at Northeastern University.
Google Scholar
Northeastern recently deleted my Google Scholar profile, so I've created a new one. You can find it here.Education
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Ph.D. in Computer Science
Massachusetts Institute of Technology, 2024 -
M.S. in Computer Science
Massachusetts Institute of Technology, 2022 -
B.S. in Computer Science
Northeastern University, 2016
News
Ph.D. Defense Completed
May 1st, 2024 — Successfully defended my Ph.D. thesis on "Practical Considerations For the Deployment of Clinical NLP Systems" at MIT, advised by the incredible Peter Szolovits!
Best Paper Award at CHIL 2023
June 23rd, 2023 — We won best paper at CHIL 2023.
Joined OpenEvidence as Head of Clinical NLP
July 1, 2022 — Excited to announce that I've joined OpenEvidence to lead their Clinical NLP research team.
Selected Publications
Travis Zack*, Eric Lehman*, Mirac Suzgun, Jorge A Rodriguez, Leo Anthony Celi, Judy Gichoya, Dan Jurafsky, Peter Szolovits, David W Bates, Raja-Elie E Abdulnour, Atul Butte, Emily Alsentzer. Assessing the Potential of GPT-4 To Perpetuate Racial and Gender Biases in Health Care: A Model Evaluation Study, Lancet Digital Health, 2023.
Eric Lehman, Evan Hernandez, Diwakar Mahajan, Jonas Wulff, Micah J Smith, Zachary Ziegler, Daniel Nadler, Peter Szolovits, Alistair Johnson, Emily Alsentzer. Do We Still Need Clinical Language Models?, Conference on Health, Inference, and Learning (CHIL), 2023.
Eric Lehman*, Sarthak Jain*, Karl Pichotta, Yoav Goldberg, Byron C. Wallace." Does BERT Pretrained on Clinical Notes Reveal Sensitive Data?, North American Chapter of the Association for Computational Linguistics (NAACL), 2021.
Eric Lehman, Jay DeYoung, Regina Barzilay, Byron C. Wallace." Inferring Which Medical Treatments Work from Reports of Clinical Trials, North American Chapter of the Association for Computational Linguistics (NAACL), 2019.
Teaching
Summer Research Mentor
Summer 2023, MIT, MentorI worked closely with a Summer research intern on exploring and collecting bias datasets for testing LLMs in healthcare settings. This was also an incredibly fun learning experience. Thank you Weston!
Machine Learning for Healthcare
Spring 2023, MIT, Teaching AssistantA very fun graduate level course on machine learning in healthcare. I designed the syllabus, graded homeworks, held and planned recitations, wrote the final exam, and held weekly office hours. It was an incredible experience to teach this course!
Fundamentals of Computer Science 1
Spring 2017, Northeastern University, TutorNortheastern's introduction to computer science course. I held weekly office hours, graded homeworks, and helped students during recitation.