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.
Mengze (Lakes) Tang
Test the performance of neural networks on simulated genetic data.
Ben Rush
I work to determine antibiotic resistance in bacteria by analyzing images and genomes using AI.
Daniel Ajuzie
Computational modeling of bacterial iron homeostasis and oxidative stress response
Jeongyeol Kwon
Inference and decision-making with missing or unobserved information.
Siddharth Suresh
Understanding how we acquire concepts using computational modelling.
Ivette Colón
Encoding of social and visual concepts in the brain and in deep learning models of human cognition
Elias DeVoe
Network biology approaches to understanding long-term survivors of metastatic breast cancer
Josh Arnold
Campus Energy Coordinator, UW-Madison Office of Sustainability
Develop policy discussions to inform scenarios for moving Wisconsin to a clean energy future
Jayaraman Tharmalingam
Integrate computational and experimental models of host-pathogen interaction in bacterial infections
Sushrut Karmalkar
Designing efficient estimators which are robust to aggressive noise models
Ahmet Alacaoglu
Continuous optimization for machine learning, reinforcement learning and other data science problems
Christopher Endemann
Data Science Facilitator
Facilitating connections and training researchers in data science.
Jeremy Johnson
I am interested in the cross-section of algebraic geometry and data science.
Jifan Zhang
Efficient and robust active learning that reduces data labelling costs at scale
Subhojyoti Mukherjee
Multi-Armed Bandits and its various applications in real-life scenarios
Sarah Stevens
Data Science Hub Director
Facilitating connections and training researchers in data science.
Michael Murrell
Assistant Professor
Physics and Synthesis of Soft, Active and Biological Matter
Carla Michini
Assistant Professor
Polyhedral methods and algorithms for combinatorial problems
Karen Schloss
Associate Professor
Visual perception and cognition in information visualization and virtual reality.