Daniel P. Jeong

danielje [at] cs.cmu.edu

---

I'm a Ph.D. student in the Machine Learning Department at Carnegie Mellon University, where I am advised by Profs. Zachary C. Lipton and Pradeep Ravikumar. I also work closely with Prof. Michael Oberst. Before CMU, I earned a B.S. in Computer Science from Columbia University, where I was advised by Profs. Itsik Pe'er, David A. Knowles, David M. Blei, and Kriste Krstovski.

My research focuses on developing ML methods inspired by the unique challenges of healthcare and creating rigorous evaluation strategies to ensure their relevance and impact in clinical practice.

Outside of CMU, I am working part-time in the ML Science Team at Abridge AI and serving as a Managing Editor for the Journal of Machine Learning Research (JMLR). I also spent wonderful summers interning in the Real-World Evidence Group at Microsoft Research (Health Futures) and the Machine Learning Groups (398J, 393K) at NASA Jet Propulsion Laboratory (JPL).