The Rice Ken Kennedy Institute and the Houston Energy Data Science (HEDS) group invites you to join us for “Data Science Night at Rice”. Come learn about the Data Science activities that are happening at Rice University and beyond.
Genevera Allen - Associate Professor of Statistics, of Electrical and Computer Engineering, and of Computer Science. Dr. Allen's research focuses on developing statistical methods to help scientists make sense of their 'Big Data' in applications such as high-throughput genomics and neuroimaging. Her work lies in the areas of modern multivariate analysis, graphical models, statistical machine learning, and data integration or data fusion.
Keith D. Cooper - L. John and Ann H. Doerr Professor in Computational Engineering. Dr. Cooper’s primary research area has been program analysis and optimization. He was one of the founding members of the compiler group at Rice and continues as an active researcher and mentor. He has more than 75 technical publications and has produced 18 Ph.D.s
William Fulton - Director, Rice Kinder Institute for Urban Research. At the Kinder Institute, Mr. Fulton coordinates Rice’s research partnership with the City of Houston and its involvement with the MetroLab Network. Rice and Houston are currently exploring ways to use Smart City technology to improve both the city’s operations and its policymaking process.
Christopher M. Jermaine - Professor of Computer Science. Chris is working on research in the areas of stochastic analytics, scalable statistical analyses, mining large code bases, distributed object storage, and applied machine learning for analyzing medical data warehouses.
Devika Subramanian - Professor of Computer Science and of Electrical and Computer Engineering. Devika’s research interests are in artificial intelligence and machine learning and their applications in computational systems biology, neuroscience of human learning, assessments of hurricane risks, network analysis of power grids, mortality prediction in cardiology, conflict forecasting and analysis of terrorist networks, and analysis of unstructured text data.
Ashok Veeraraghavan Associate Professor of Electrical and Computer Engineering. His research interests are in the areas of computational imaging, compressive sensing for imaging, signal processing and computer vision, data science, neuroengineering, and systems.
Parking at the Rice BioScience Research Collaborative: