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 Zack Lipton as part of the Foundations of Statistical Machine Learning Group and the Approximately Correct Machine Intelligence Lab.

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

My research interests are broadly in Statistical Machine Learning (Bayesian Nonparametrics, Probabilistic Deep Learning, Approximate Inference), Robustness, and Healthcare. My work is supported by the ARCS Foundation.