Chase Fensore
Generative AI for personalized clinical care
PhD Candidate
Emory University, Department of Computer Science
Your week at a glance
- Small group — you facilitate Group 6 · Andromeda on Day 3 (Evaluation).
- Job talk — Day 6 (Sat, Jun 27), 1:40 PM · Room B · Alder 103.
- Poster — Day 7 (Sun, Jun 28) · Session A (9:15–10:15 AM).
Chase Fensore is a fifth-year PhD candidate in Computer Science at Emory University, advised by Prof. Joyce Ho. His research focuses on building and evaluating machine learning systems for healthcare, with an emphasis on retrieval-augmented generation (RAG), benchmarking question-answering (QA) systems, and patient-facing QA. He is particularly interested in how language models can be deployed more safely and reliably in real-world health settings, including developing evaluation frameworks for patient-facing medical QA systems across representative patient populations. His additional interests span algorithmic fairness in clinical prediction and integrating social determinants of health (SDOH) into clinical prediction for chronic conditions. His research has been published in JAHA, MLHC, ML4H, and SIGIR, and in 2024 he received an NSF GRFP Honorable Mention and the Emory Shankar Fellowship. In 2021 he co-founded Zuki Health, a mobile health application for pediatric patients with glycogen storage disease.
Awards & honors
Recognition
- NSF Graduate Research Fellowship Program (GRFP) - Honorable Mention (2024)
- Shankar Fellowship, Emory University Diabetes Translational Accelerator (2024)
- Laney Graduate School Fellowship, Emory University (2022-2027)
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