Vikas Sindhwani is Research Scientist at Google 
Deepmind in New York where he leads a research group focused on solving a 
range of planning, perception, learning, and control problems arising in 
Robotics.  His interests are broadly in core mathematical foundations of 
statistical machine learning, and in end-to-end design aspects of 
building 
large-scale and robust AI systems. He received the best 
paper award at Uncertainty in Artificial Intelligence (UAI-2013), the 
IBM Pat Goldberg Memorial Award in 2014, and was finalist for 
Outstanding Planning Paper Award at ICRA-2022. He 
serves on the  editorial board of Transactions on Machine Learning 
Research (TMLR) and IEEE Transactions on Pattern Analysis 
and Machine Intelligence; he has been area chair and senior program 
committee member for NeurIPS, International Conference on Learning 
Representations (ICLR) 
and Knowledge Discovery and Data Mining (KDD). He previously headed the Machine Learning group at IBM Research, NY. He has 
a PhD in Computer Science from the University of Chicago and a B.Tech in 
Engineering Physics from Indian Institute of Technology (IIT) Mumbai. 
His publications are available at: http://vikas.sindhwani.org/.
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