# 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.

Undergraduate

Yash Dave*

Hierarchical Model Validation

Yash is a third-year undergraduate student at UC Berkeley majoring in Applied Math and Computer Science. He has a broad range of interests including statistics, natural language processing, education and public policy.

Undergraduate

Zixun Wang*

Hierarchical Model Validation

Zixun is an undergraduate at UC Berkeley studying CS and Statistics. He is a tea lover, and plays badminton and guitar.

Undergraduate

Brandon Marks*

Hierarchical Model Validation

Brandon is a thrid-year undergraduate at UC Berkeley studying Applied Mathematics and Data Science. In his free time he loves to play chess and is a sports enthusiast.

Undergraduate

Feng Cheng*

Graphical Bootstrap, Hypothesis Testing on Networks

Feng Cheng is a senior at UC Berkeley double majoring in math and statistics, interested probability. He will become a math/statistics PhD student in fall 2024. He is very good at remembering numbers attached to meaning. His pursuits include extensively listening to and studying Western classical music.

Undergraduate

Haoran (Leo) Liu*

Trade-Off Analysis in Negotiation Games

Leo is a third-year undergraduate student from HKUST studying statistics and computer science. His research interests lie in ML application in game theory and science and ML theory. He loves to play Go, basketball and tennis in his free time.

PhD Student

Zilai Si*

Zilai earned his master's degree in Statistics from the University of Chicago in 2023 and is a PhD student at Northwestern's IEMS. He works on Bayesian inference and machine learning. He enjoys playing Go in his spare time.

PhD Student

Yucong Liu*

Yucong graduated from the University of Chicago with an MS in Statistics in 2022. He is now a PhD student at Georgia Tech. He is interested in machine learning theory, including deep learning and optimization.

PhD 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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