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Assistant Professor, Department of Computer Science and the Department of Statistical Sciences, David Duvenaud, was a postdoc in the Harvard Intelligent Probabilistic Systems group, working with Ryan Adams on model-based optimization, synthetic chemistry, and neural networks. He did his PhD at the University of Cambridge with Carl Rasmussen and Zoubin Ghahramani. Prior to that, he worked on machine vision both with Kevin Murphy at the University of British Columbia and later at Google Research. David also co-founded Invenia, an energy forecasting and trading firm which now employs 20 full-time staff. David’s research focuses on deep learning techniques for inferring probabilistic models from large data sets, which he uses for automated statistical inference in areas such as computational chemistry, leading to predictive models for applications in toxicology and photoelectronics.
Assistant Professor, Department of Mathematical and Computational Sciences at the University of Toronto Mississauga (UTM), Sanja Fidler completed her PhD in computer science at University of Ljubljana (2010), and was a visiting student at UC Berkeley in the final year of her PhD. She was a Postdoctoral Fellow at U of T (2011-2012), and a Research Assistant Professor at TTI-Chicago, a philanthropically endowed academic institute located in the campus of the University of Chicago. She is serving as an Area Chair in the upcoming CVPR’16, EMNLP’16 and ACCV’16, and as a Program Chair of 3DV’16. Her main research interests are object recognition, 3D scene understanding, and combining vision and language. Most recently, Professor Fidler was a CLTA Assistant Professor in the Department and received the Computer Science Students' Union (CSSU) Teaching Award in 2015.
Assistant Professor, Department of Computer Science, Roger Grosse, was a Postdoctoral Fellow in our Machine Learning group. He received his PhD in Computer Science from MIT under the supervision of of Bill Freeman. His Masters and Bachelor degrees are from Stanford, in Computer Science and in Symbolic Systems, which spans the fields of computer science, linguistics and statistics. He is a recipient of the NDSEG Graduate Fellowship, the Banting Postdoctoral Fellowship, and outstanding paper awards at the International Conference of Machine Learning (ICML) and the Conference for Uncertainty in AI (UAI). He is also a co-creator of Metacademy, an open-source web site for developing personalized learning plans in machine learning and related fields. His research interests are in accurate statistical computation and novel ideas for automated discovery of appropriate structures for statistical modeling.
Assistant Professor, Department of Computer Science, Alec Jacobson, was a Postdoctoral Researcher at Columbia University working with Eitan Grinspun. He received a PhD in Computer Science from ETH Zurich, and an MA and BA in Computer Science and Mathematics from the Courant Institute of Mathematical Sciences, New York University. His thesis on real-time deformation techniques for 2D and 3D shapes was awarded the ETH Medal and the Eurographics Best PhD Award. Leveraging ideas from differential geometry and finite-element analysis, his work in geometry processing improves exposure of geometric quantities, while his novel user interfaces reduce human effort and increase exploration, he has published several papers in the proceedings of SIGGRAPH. He leads development of the geometry processing library, libigl, winner of the 2015 SGP Software Award.
Assistant Professor, Department of Computer Science, David Levin was an associate research scientist at Disney Research in Cambridge, Massachusetts. Prior to that, he was a postdoc with Professor Wojciech Matusik at MIT, having received his PhD under Dinesh K. Pai at the University of British Columbia. His main research interests are in using new simulation techniques to allow artists, engineers and scientists to study and create – everything from animations to machines.
Gennady Pekhimenko is a PhD graduate of the Computer Science Department at Carnegie Mellon University under the supervision of Professor Todd C. Mowry and Professor Onur Mutlu. Previously, he worked at the IBM Toronto Lab, Compilers Group (2008-2010). He received his MSc in Computer Science from U of T (2008), and his BS in Applied Mathematics and Computer Science from Moscow State University (2004). His work has been funded by NVIDIA Graduate, Microsoft Research, Qualcomm Innovation, and NSERC CGS-D fellowships. Gennady is serving on the PC of WWW'16 and the ERC of ISCA'16. His research interests are on efficient memory hierarchy designs with data compression, compilers, GPUs, and bioinformatics. Gennady will spend a year at Microsoft Research in Redmond, Washington, before joining the Department of Computer and Mathematical Sciences at the University of Toronto Scarborough (UTSC) as an Assistant Professor in July 2017.
Sushant Sachdeva received his PhD from Princeton University (2013), advised by Sanjeev Arora and his BTech from IIT Bombay (2008) where he was awarded the President of India Gold Medal. His postdoctoral research was working with Daniel Spielman at Yale University. He is interested in algorithms and their connections to optimization, machine learning, and statistics. His research focus is the design of fast algorithms for graph problems. He spent the fall of 2013 at the Simons Institute at Berkeley, supported by a Simons-Berkeley Research Fellowship. Sushant will take one year at Google Research and will join us as an Assistant Professor, Department of Mathematical and Computational Sciences at the University of Toronto Mississauga (UTM) in July 2017.
Nisarg Shah is a PhD graduate of Computer Science Department at Carnegie Mellon University (2016) advised by Ariel Procaccia. His broad research agenda in algorithmic economics includes topics such as computational social choice, fair division, game theory (both cooperative and noncooperative), and prediction markets. He focuses on designing theoretically grounded methods that have practical implications. Shah is the winner of the 2013-2014 Hima and Jive Graduate Fellowship and the 2014-2015 Facebook Fellowship. Nisarg will take a one-year postdoc at Harvard, before joining the Department of Computer Science as an Assistant Professor in August 2017.