Daniel P. Jeong

danielje [at] cs.cmu.edu

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I'm a Ph.D. student in the Machine Learning Department at Carnegie Mellon University. I'm fortunate to be advised by Profs. Pradeep Ravikumar and Zachary C. Lipton. I also collaborate closely with Prof. Michael Oberst and serve as a Managing Editor for the Journal of Machine Learning Research (JMLR). Currently, I am spending the summer with the Real-World Evidence Group at Microsoft Research (MSR).

Previously, I earned my B.S. degree in Computer Science from Columbia University, where I was advised by Profs. Itsik Pe'er, David A. Knowles, David M. Blei, and Kriste Krstovski. I also spent a couple of summers with the Machine Learning Groups (398J, 393K) at NASA Jet Propulsion Laboratory (JPL).

My research interests are broadly in Machine Learning for Healthcare, Large Language Models, and Foundation Models for Structured Data. My work has been supported by the ARCS Foundation.