Yunyi Shen

Graduate Assistant

  • Graduate Student

Statistical models that reconstruct the interaction networks among microbes and experimental design

Pablo Caceres

  • Graduate Student

Computational models of cognition, applied machine learning and data science.

Zhaoyi Zhang

  • Undergraduate Student

Use machine learning model to predict the antibiotic resistance of certain bacteria

Amy Shircel

  • Undergraduate Student

Provide administrative and program support to the director, students, and educators at Tiny Earth

Xiaomin Zhang

Xiaomin Zhang

  • Graduate Student

Intersection of machine learning, statistics and optimization

Subhojyoti Mukherjee

  • Graduate Student

Multi-Armed Bandits and its various applications in real-life scenarios

Jon Eckhardt

Jon Eckhardt

Associate Professor

  • Discovery Fellow

Entrepreneurship, including firm formation, venture finance, and university driven entrepreneurship

Yinglun Zhu

Yinglun Zhu

  • Graduate Student

Sequential decision making and statistical learning theory

Haoran Zhu

Haoran Zhu

  • Graduate Student

Theoretical aspects of mixed-integer optimization

Rahul Parhi

Rahul Parthi

  • Graduate Student

Mathematical Data Science

Sarah Stevens

Sarah Stevens

Data Science Hub Facilitator

  • Research Staff

Facilitating connections and training researchers in data science.

Brian Yandell

Brian Yandell

Professor

  • Discovery Fellow

Co-lead of Data Science Hub (hub.datascience.wisc.edu). Research on systems genetics.

Rohit Kannan

Rohit Kannan

  • Postdoctoral Associate

Algorithms for optimization under uncertainty

Michael Murrell

Michael Murrell

Assistant Professor

  • Discovery Fellow

Physics and Synthesis of Soft, Active and Biological Matter

Julia Lindberg

Julia Lindberg

  • Graduate Student

Applications of algebra to topics in electrical engineering

Robert Radwin

Robert Radwin

Duane H. and Dorothy M. Bluemke Professor

  • Discovery Fellow

Carla Michini

Carla Michini

Assistant Professor

  • WID Affiliate

Polyhedral methods and algorithms for combinatorial problems

Jeffrey Dischler

Jeff Dischler

Software Developer

  • Research Staff

Web and systems development facilitating access to optimization research

Rui Chen

Rui Chen

  • Graduate Student

Stochastic Programming

Scott Sievert

Scott Sievert

  • Graduate Student

Large scale machine learning, distributed optimization and active learning.

Akhil Sundararajan

  • Graduate Student

Convergence analysis of convex optimization algorithms using techniques from robust control theory

Blake Mason

Blake Mason

  • Graduate Student

Machine learning techniques, such as metric learning, to analyze human generated data