Banerjee, Chen, Pender to be promoted to Associate Professor rank
At its recent meetings, the Cornell University Board of Trustees elected three members of the School of Operations Research and Information Engineering faculty to appointment with indefinite tenure, effective July 1, 2021.
Siddhartha Banerjee, Yudong Chen and Jamol Pender were all elected associate professor with indefinite tenure.
Banerjee joined the faculty at Cornell in July 2015 as an Assistant Professor. He received his Ph.D. in 2013 from the Department of Electrical and Computer Engineering at the University of Texas at Austin, and was a postdoctoral researcher in the Social Algorithms Lab at Stanford from 2013-15. He was a technical consultant at Lyft in 2014 and interned at the Technicolor Paris Research Lab and Alcatel-Lucent Bell Labs in 2011 and 2009 respectively. Sid’s research focuses on stochastic modeling, and the design of algorithms and incentives for large-scale systems.
Chen joined the ORIE faculty in August 2015 as an Assistant Professor. He received his Ph.D. from the Department of Electrical and Computer Engineering at the University of Texas at Austin in 2013, and his Bachelor and Master’s degrees from Tsinghua University in 2008. Before coming to Cornell, he was a Postdoctoral Scholar at the Department of Electrical Engineering and Computer Sciences in University of California, Berkeley. His research interests include machine learning, statistical inference, optimization and networks.
Pender joined the faculty at Cornell in July 2015 as an Assistant Professor in ORIE. He received his Ph.D. from the Department of Operations Research and Financial Engineering at Princeton University in 2013, and his B.S.E and M.S.E in Electrical and Systems Engineering at the University of Pennsylvania in 2008. Before coming to Cornell, he was a Visiting Scholar in the Department of Industrial Engineering and Operations Research at Columbia University. His research interests include queueing theory, applied probability, Markov processes, control theory, and mathematical finance.
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