Professor Kirby is director of the CSU Data Science Research Institute. He is a professor in the Department of Mathematics with a joint appointment in the Department of Computer Science as well as affiliate faculty member status in the Program in Cell and Molecular Biology. His research interests include low dimensional and geometric modeling, optimization and the mathematical foundations of machine learning. He investigates applications of this work to modeling biological data sets, including health data time series and “omics” data in the setting of infectious disease. He authored the textbook “Geometric Data Analysis: An Empirical Approach to Dimensionality Reduction and the Study of Patterns.” He and CSU professor Chris Peterson founded the Pattern Analysis Laboratory at CSU. He was an Alexander von Humboldt Fellow at the Institute for Information Verarbeitung at the University of Tuebingen, Germany. He also was awarded an IBM Faculty Fellowship, and the College of Natural Sciences Award for Graduate Education. He received his S.B. degree in mathematics from the Massachusetts Institute of Technology and Ph.D. from the Division of Applied Mathematics, Brown University.
All times are presented in the host university’s local time zone.
Prediction: Innovations in Predictive Analytics
Adaptation: Environments on Other Planets & Disruptions in Earth Systems
Resilience: Building Workforce and Operations Resilience
(9:25am - 10:45am)