Dmitry Storcheus (Google Research):
Dmitry is an Engineer at Google Research NY. He specializes in the research and implementation of scalable machine learning algorithms. He received his MSc in Mathematics from the Courant Institute at NYU, where he wrote a thesis with advisor Mehryar Mohri on Supervised Kernel PCA. Dmitry's recent research contributions include deriving generalization guarantees for supervised dimensionality reduction and developing Supervised KPCA algorithm. Currently he is working on implementing large scale feature extraction algorithms. Dmitry has been an active participant of NIPS, he was a NIPS reviewer in 2014 and 2015 as well as he spoke at “Nonparametrics-3” workshop at NIPS 2014. In addition, he was a speaker at the 9th Annual Machine Learning Symposium, where he won the Best Spotlight Talk award and honorable mention by the New York Academy of Sciences. Dmitry Storcheus is a member of the New York Academy of Sciences, Sigma Xi and American Mathematical Association.
Afshin Rostamizadeh (Google Research)
Afshin is a research scientist at Google Research NY, where he specializes in designing and applying machine learning algorithms. He received his BS in Electrical Engineering and Computer Science from UC Berkeley, his PhD in Computer Science from the Courant Institute at NYU with advisor Mehryar Mohri and was a post-doc at UC Berkeley in Peter Bartlett's group. He has worked on problems such as learning from non-iid samples, learning from biased samples, learning from data with missing features and automatic kernel selection for kernelized algorithms such as SVM.
Sanjiv Kumar (Google Research)
Sanjiv Kumar joined Google Research New York in 2005, where he is currently a lead researcher working on theory and applications in Big Data. His recent research interests include binary embeddings for large-scale machine learning, nearest neighbor search in massive datasets, low-rank decompositions of huge matrices, and high-throughput online clustering. He has also been an adjunct faculty member at Columbia University where he developed and taught a new course on large-scale machine learning in 2010. In the past, Kumar held various research positions in National Robotics Engineering Consortium, Pittsburgh, and Department of Surgery, National University of Singapore in medical and industrial robotics. He holds a PhD from the School of Computer Science at Carnegie Mellon University. More information can be found at: http://www.sanjivk.com.