I’m on the job market this fall 2023! If you know of any positions that would be a good fit, please let me know at ealsentzer at bwh.harvard.edu.
My research addresses the challenges of applying machine learning and natural language processing to healthcare. I work to develop tools that can augment clinicians and patients by helping them quickly find and interpret abundant medical data. My work is motivated by two core questions: (1) How do we develop generalizable models that can learn with limited annotated data? and (2) How can we design trustworthy human-in-the-loop tools that augment clinician decision making?
I am currently a postdoctoral fellow at Brigham and Women’s Hospital and Harvard Medical School (HMS) where I am working to deploy ML models within the Mass General Brigham healthcare system. I completed my PhD in the Health Science & Technology (HST) program at MIT & HMS, co-advised by Zak Kohane and Pete Szolovits. During my PhD, I created ClinicalBERT, a language model trained on electronic health records that has millions of downloads on HuggingFace, and developed SHEPHERD, a graph neural network approach for the diagnosis of patients with rare genetic diseases in the Undiagnosed Disease Network.
PhD in Medical Engineering & Medical Physics (HST), 2022
Massachusetts Institute of Technology
MS in Biomedical Informatics, 2017
BS in Computer Science, 2016
[July 2023] Our work on assessing racial and gender bias in GPT-4 for medical applications was featured in Stat News. Our work on few shot diagnosis of rare disease patients received a Best Oral Presentation Award at ISMB.
[April 2023] I was awarded a grant from Microsoft’s Accelerate Foundation Models Research Initiative to study the use of LLMs for clinical summarization.
[August 2022] I started a postdoctoral fellowship at Brigham and Women’s Hospital and Harvard Medical School with David Bates.
[June 2022] I successfully defended my thesis on Few Shot Learning for Rare Disease Diagnosis. My thesis committee included Zak Kohane, Pete Szolovits, and Marinka Zitnik.