- Publications: Published multiple papers in top ML conferences like NeurIPS, AAAI, ICML
- Awards: IBM Research Accomplishment Award 2023 (Graphical Event Models), RPI-IBM AIRC Fellowship 2020-2023, Schmidt Science Fellowship Nomination, Best Student Paper Award, ACM BCB, 2021
Research Experience
- Visiting Scholar in the CS department at RPI
- Conducted research at IBM and received an accomplishment award
- Served as a reviewer or PC member for international conferences such as NeurIPS, AAAI, ICML, ICLR, AISTATS, etc.
- M.S. (Computer Science), Rensselaer Polytechnic Institute (RPI), 2023
- M.S. (Chemistry), Ohio State University, 2014
- B.A. (Chemistry), minor in Applied Math, East Asian Studies, and Japanese, Wittenberg University, 2012
Background
- Research Interests: Machine/Deep Learning, Optimization, and Trustworthy AI, with a primary focus on (Neural) Marked Temporal Point Process & Sequential Data; Causal Inference & Learning; (Deep) Generative Models; Neural Network Training and Dynamics; Machine Learning for Health.
- Position: Assistant Professor in the Department of Computer Science at Baylor University
- Biography: Prior to joining Baylor, he was a visiting scholar hosted by Jianxi Gao in the CS department at RPI. He has published many papers in top ML conferences, including NeurIPS, AAAI, ICML, etc., and served as a PC member for several international conferences such as NeurIPS, AAAI, ICML, ICLR, AISTATS, etc.
Miscellany
- Volunteer Experience: Served as a Judge at First Tech Challenge Robotics Competition in Waco, TX