# 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 is a second-year MS student in Statistics at the University of Chicago. Zilai obtained his undergraduate degree in Applied Mathematics from Zhejiang University. His research interests primarily include Bayesian inference and Optimization.

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 is a Master's student in statistics at UChicago. He is interested in network analysis and machine learning. He loves to 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 received his master's degree from the University of Chicago in 2022. He will start his doctorate at Cornell ORIE this fall. He "likes figuring things out and making computers do stuff."

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 an undergraduate student at CWRU, studying math and computer science. 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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