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 suprevized dimensionality reduction and currently he is working on implementing matrix approximation algorithms.
Modern Nonparametrics 3: Automating the Learning Pipeline, Neural Information Processing Systems, Workshop (2014)