Core Team Members
Kevin is a post doctoral researcher in the AMP lab at UC Berkeley working with Ben Recht. His research interests include multi-armed bandit problems, active learning, stochastic optimization, and sequential testing in statistics. His work ranges from theory, to practical algorithms with guarantees, to open-source machine learning systems. He received his PhD from the Electrical Engineering department at the University of Wisconsin - Madison, his MS from Columbia University, and his BS from the University of Washington.
Lalit Jain is a graduate student in mathematics at the University of Wisconsin, Madison. His research interests revolve around algebraic geometry, topology and number theory. He has also been exploring applications of geometry to machine learning. He is advised by Jordan Ellenberg and Robert Nowak.
Rob is the McFarland-Bascom Professor in Engineering at the University of Wisconsin-Madison, where his research focuses on signal processing, machine learning, optimization, and statistics. He is a professor in Electrical and Computer Engineering, as well as being affiliated with the departments of Computer Sciences and Biomedical Engineering at the University of Wisconsin. He is also a Fellow of the IEEE and the Wisconsin Institute for Discovery
Current and Past Team Members
Scott Sievert is a graduate student at the University of Wisconsin-Madison. His research focuses on signal processing, optimization and inverse problems and received his B.S. from the University of Minnesota. He has contributed to many open source projects and is an ambassador for the Center for Open Science.
Daniel Ross is a PhD candidate in mathematics at the University of Wisconsin in Madison, specialising in number theory. Outside of research, he hacks on open source software projects, interns in software engineering at Google, seeks out large angular velocities, and eats mangoes.
Ari is a a graduate student at the University of Wisconsin-Madison pursuing a Ph.D in Artificial Intelligence starting September 2015 under the supervision of Professor Robert Nowak. Ari received his undergraduate degree in Computer Engineering and Applied Mathematics from the University of Wisconsin-Madison
Chris is a former graduate student of Professor Rob Nowak, and obtained his M.S. and B.S. in Biomedical Engineering at University of Wisconsin - Madison. Chris's research interests revolve around the theoretical and experimental analysis of new machine learning algorithms, and the development of machine learning methods and software for diagnostic and therapeutic biomedical applications.
Nick is a former graduate student of Professor Rob Nowak, and obtained his M.S. and B.S. in Biomedical Engineering at University of Wisconsin - Madison. Nick lives and works in Austin, Texas with research interests focusing on the application of machine learning to biomedical systems.