Yunyi Shen
Graduate Assistant
Statistical models that reconstruct the interaction networks among microbes and experimental design
Data Science Hub
The Data Science Hub will provide a focal point for programs dedicated to research and application of modern techniques to the management, storage, and analysis of complex data sets. In addition to fundamental research activities on data science, the Hub will include campus-wide discussions of data problems, consulting services to help researchers apply the tools of data analysis and computation, provide links to educational activities in this area, and organize a Public Lecture series on Data Science and the SILO seminar series. The Data Science Hub will house a Data Analytics Integration Service as well as a Data Science Consulting Facility , which will collaborate in applying computational, modeling, and statistical analysis to domain-specific data projects.
Pablo Caceres
Computational models of cognition, applied machine learning and data science.
Zhaoyi Zhang
Use machine learning model to predict the antibiotic resistance of certain bacteria
Amy Shircel
Provide administrative and program support to the director, students, and educators at Tiny Earth
Subhojyoti Mukherjee
Multi-Armed Bandits and its various applications in real-life scenarios
Jon Eckhardt
Associate Professor
Entrepreneurship, including firm formation, venture finance, and university driven entrepreneurship
Sarah Stevens
Data Science Hub Facilitator
Facilitating connections and training researchers in data science.
Brian Yandell
Professor
Co-lead of Data Science Hub (hub.datascience.wisc.edu). Research on systems genetics.
Michael Murrell
Assistant Professor
Physics and Synthesis of Soft, Active and Biological Matter
Carla Michini
Assistant Professor
Polyhedral methods and algorithms for combinatorial problems
Jeffrey Dischler
Software Developer
Web and systems development facilitating access to optimization research
Scott Sievert
Large scale machine learning, distributed optimization and active learning.
Akhil Sundararajan
Convergence analysis of convex optimization algorithms using techniques from robust control theory
Blake Mason
Machine learning techniques, such as metric learning, to analyze human generated data