10 events found.
Events
Events
MICDE Seminar: Chris Rycroft, Department of Applied Mathematics, Harvard University
1084 East Hall 530 Church St., Ann Arbor, MI, United States
SC2 Machine Learning Collaborative Workshop
1311 EECS 1301 Beal Ave., Ann Arbor, MI, United States
SC2 Machine Learning Collaborative Workshop
1311 EECS 1301 Beal Ave., Ann Arbor, MI, United States
SC2 Machine Learning Collaborative Workshop
1311 EECS 1301 Beal Ave., Ann Arbor, MI, United States
MICDE 2017 Catalyst Grants Informational Session
Space 2435 North Quad 105 S. State St., Ann Arbor, MI, United StatesMICDE seeks proposals for innovative research projects in computational science that combine elements of mathematics, computer science, and cyberinfrastructure. Of interest is innovative computational research in any emerging area, including but not limited to (a) applications such as neuroscience, ecology, environmental science, evolutionary biology, human-made complex systems, urban infrastructure and energy, (b) frameworks for scientific […]
2017 U-M Data Science Research Forum
Michigan League 911 N. University, Ann Arbor, MI, United StatesForum Highlights Oral and poster presentations on Theoretical foundations of data science Data science methodology Data science applications in any research domain Social impact of data science research How to engage industry workshop Adrian Fortino, Partner (Mercury Fund) Mike Psarouthakis, Director (U-M Venture Center) Kevyn Collins-Thompson, Associate Professor, U-M School of Information Mike Cafarella, Associate Professor, […]
SC2 Machine Learning Collaborative Workshop
1311 EECS 1301 Beal Ave., Ann Arbor, MI, United States
ME Faculty Candidate Seminar Series: Maziar Raissi, Brown University
Bio: Maziar Raissi is an Assistant Professor of Applied Mathematics (research) in the Division of Applied Mathematics at Brown University. He received his Ph.D. in Applied Mathematics & Statistics, and Scientific Computations from University of Maryland -- College Park in December 2016. Raissi's expertise lies at the intersection of Probabilistic Machine Leaning, Deep Learning, and […]