Vitaly Feldman is a research scientist at Google working on design and theoretical analysis of machine learning algorithms. His recent research includes foundations of adaptive data analysis, complexity of learning with constrained access to data, and privacy-preserving learning. He has also worked on understanding of natural learning systems: learning by the brain and evolution as learning. Vitaly holds a PhD from Harvard (2006) and was previously a research scientist at IBM Research - Almaden (2007-2017).