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Andreas Krause is an assistant professor of computer science at ETH Zurich, where, since 2011, he has led the Learning and Adaptive Systems Group. Prior to that, he was an
assistant professor of computer science at the California
Institute of Technology. He received his Ph.D. in computer
science from Carnegie Mellon University (2008) and his
Diplom in computer science and mathematics from the
Technical University of Munich, Germany (2004). He is a
Microsoft Research Faculty Fellow, received an ERC Starting
Investigator grant, the Deutscher Mustererkennungspreis
and an NSF CAREER award. His research in learning and
adaptive systems that actively acquire information, reason
and make decisions in large, distributed and uncertain
domains, such as sensor networks and the web received
awards at several conferences (AAAI, KDD, IPSN, ICML, UAI)
and journals (JAIR, JWRPM).
Daniel Golovin is a computer scientist whose research
interests include provably good ways of dealing with uncertainty, approximation and online algorithms, algorithmic
economics, and using novel data structures to improve privacy. His work has received an AAAI Outstanding Paper
Award and an IJCAI-JAIR Best Paper Prize. He received his
B.S. from Cornell University and his Ph.D. from Carnegie
Mellon University and is currently working on large-scale
machine learning at Google.
Sarah Converse has been a research ecologist in the
Wildlife Research Group at USGS Patuxent Wildlife Research
Center since 2007. Her research program is built around two
themes: quantitative population ecology of endangered
species, and decision analysis applications in endangered
species management. Converse also serves in a scientific
advisory role for the whooping crane captive breeding program at Patuxent. She has published more than 30 research
articles, book chapters, and peer-reviewed reports. She collaborates regularly with managers in the USFWS and other
federal and state agencies. She also advises graduate students and postgraduate research associates. Converse has a
B.S in fishery and wildlife biology from Michigan State University, an M.S. in natural resources sciences from the University of Nebraska, and a Ph.D. in wildlife ecology from
Colorado State University. Formerly, she was a postdoctoral
research associate in the Quantitative Methods Research
Group at Patuxent.
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