Daniel Jeong, PhD Student
I am a PhD student in the Machine Learning Department at Carnegie Mellon University. I am fortunate to be co-advised by Profs. Zachary Lipton and Pradeep Ravikumar. My research interests are broadly in statistical machine learning, robustness, knowledge graphs, and their applications to healthcare. Prior to CMU, I completed my Bachelor of Science (B.S.) degree in Computer Science at 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 (JPL).
Research Interests: Statistical Machine Learning, Robustness, Knowledge Graphs, ML for Healthcare
Publications
Factorial SDE for Multi-Output Gaussian Process Regression
Daniel Jeong, Seyoung Kim
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023Doubly Mixed-Effects Gaussian Process Regression
Jun Ho Yoon, Daniel Jeong, Seyoung Kim
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022Relative Pose Estimation for On-orbit Assembly using Convolutional Neural Networks
Shubham Sonawani, Ryan Alimo, Renuad Detry, Daniel Jeong, Andrew Hess, Heni Ben Amor
AIAA SciTech, 2020COSMIC: Content-based Onboard Summarization to Monitor Infrequent Change
Gary Doran, Erik Langert, Steven Lu, Lukas Mandrake, Kiri Wagstaff, Jimmie Young, Anneliese Braunegg, Paul Horton, Daniel Jeong, Asher Trockman
IEEE Aerospace Conference, 2020Protein structure prediction with deep learning representations
Iddo Drori, Darshan Thaker, Arjun Srivatsa, Daniel Jeong, Yueqi Wang, Linyong Nan, Fan Wu, Dimitri Leggas, Jinhao Lei, Weiyi Lu, Weilong Fu, Yuan Gao, Sashank Karri, Anand Kannan, Antonio Moretti, Chen Keasar, Itsik Pe’er
NeurIPS Learning Meaningful Representations of Life Workshop, 2019Protein Structure Prediction by Embeddings and Deep Learning Representations
Iddo Drori, Darshan Thaker, Arjun Srivatsa, Daniel Jeong, Yueqi Wang, Linyong Nan, Fan Wu, Dimitri Leggas, Jinhao Lei, Weiyi Lu, Weilong Fu, Yuan Gao, Sashank Karri, Anand Kannan, Antonio Moretti, Mohammed AlQuraishi, Chen Keasar, Itsik Pe’er
Machine Learning in Computational Biology (MLCB), 2019