Welcome new faculty members
July 3, 2024
The Statistics and Operations Research Department would like to welcome our newest faculty members, Assistant Professors Mo Liu, Ben Seeger, and Chudi Zhong (jointly with SDSS).
Dr. Liu
Mo's research lies in decision-focused learning, a methodology that designs and trains prediction models to account for decision-making in downstream optimization problems. These downstream problems include real-world applications in revenue management. Mo received his PhD in Industrial Engineering and Operations Research from UC Berkeley, advised by Zuo-Jun Max Shen.
Dr. Seeger
Ben received his Ph.D. in Mathematics from the University of Chicago in 2019 under the supervision of Panagiotis E. Souganidis. From 2019 to 2021, he was an NSF postdoctoral fellow at the Collège de France and the Université Paris-Dauphine (CEREMADE), mentored by Pierre Cardaliaguet and Pierre-Louis Lions. Since 2021, he has been an NSF RTG Postdoctoral Instructor in the Department of Mathematics at the University of Texas at Austin. His research is concerned with stochastic analysis, in particular, the effects that noise has on models coming from the physical or social sciences. Most recently, he has been interested in the theory and applications of mean field games and other interacting agent models.
Dr. Zhong
Chudi received her Ph.D. in Computer Science from Duke University in 2024. Her research lies at the intersection of machine learning, optimization, and human-model interaction. She develops interpretable machine learning algorithms and pipelines to facilitate high-stakes decision-making. She was recognized as a Rising Star in Data Science and won second place in the 2023 Bell Labs Prize.
