Collaborators
Research is best done in a team. See the list below for my current collaborators, coauthors, and mentors. All starred names are available as references.
Collaborator
David Rosenbluth*
Lockheed Martin Artificial Intelligence Center
Collaborator
Kevin Alcedo*
Lockheed Martin Artificial Intelligence Center
Collaborator and Mentor
Peter Thomas*
Collaborator
Andrew Eckford
Inference and Message Passing
Students... (the ones who actually do the work)
See a list of my past and current students below. Starred students are current members of my working group.
Master's Student
Zilai Si*
Zilai earned his master's degree in Statistics from the University of Chicago in 2023 and will start his doctorate at Northwestern's IEMS this Fall. He works on Bayesian inference and machine learning. He enjoys playing Go in his spare time.
Master's Student
Yucong Liu*
Yucong graduated from Peking University with a Bachelor's degree in CS and Mathematics. He will graduate from the University of Chicago with an MS in Statistics in 2022. He is interested in machine learning theory, including deep learning and optimization.
Master's Student
Patrick Bai*
Game Embedding and Approximation Theory
Patrick graduated with his Masters degree from the University of Chicago and is an incoming statistics PhD student at Texas A&M. He is interested in network analysis and machine learning. He loves to play board games and solve puzzles during his leisure time.
Master's Student
Bowen Zheng
Patterns of Information Flow in Neural Circuits
Bowen focuses on computational neuroscience. He borrows analytical tools from dynamical system and computational tools from statistical learning theory. He is interested in formal modelling of cognitive functions that underpin brain circuit dynamics.
PhD Student
Hwanwoo Kim
Hwanwoo leverages Bayesian methods and optimization for uncertainty quantification, inverse problems, experiment design, and data science. He has worked on parameter estimation problems under differential equation constraints and leveraged stochastic gradient descent for efficient statistical inference.
Undergraduate Mentee
Christopher Cebra*
Christopher graduated from the University of Chicago in 2022 and is now a PhD student in statistics at the University of Illinois Urbana-Champaign. He works on self-organizing hierarchies in populations evolving under a selection dynamic.
Master's Student
Qingyao Sun
Game Embedding and Visualization
Qingyao is a "medium-sized creature prone to great ambition." He earned his master's from UC, and is an ORIE Ph.D. at Cornell. He aims to use optimization and machine learning to build practical algorithms that improve lives. Qingyao is neither "theoretical" nor "applied"; but "production focused".
Undergraduate Student
Patricia Zhou
Game EMbedding and Visualization
Patricia is a third-year undergraduate student at UChicago majoring in Statistics and Computer Science. She has a wide range of interests in data science, data visualization and programming languages.
Undergraduate Mentee
Daniel Chen
Daniel is a Ph.D. student at Brown in applied mathematics. His main interests lie in stochastic processes and quantum computation. Outside of academics, he is also a jazz musician, a table tennis player, and an amateur cook.
Master's Mentee
Shiv Agrawal
Shiv graduated with an MS degree in Statistics from the University of Chicago in 2021. We worked together on uncertainty quantification and variational inference in Bayesian hierarchical models. He works now as a quant at Tanius Tech.
Undergraduate Mentee
William Huffmeyer
Stochastic Ecological Modelling
Will graduated from Case Western Reserve University in 2021. We worked together on stochastic ecological models. Will developed tools that computed the importance of specific noise sources to the long-term variance in a chosen observable.
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Undergraduate Mentee
David Liu
Phase Induced Tipping
David graduated from the University of Chicago in 2020. We worked together on phase induced tipping in ecological models that exhibit catastrophic transitions out of stable limit cycles.
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