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).
- Data Privacy: Foundations and Applications, Spring 2019. Visiting Scientist, Program Organizer and Workshop Organizer.
- Foundations of Machine Learning, Spring 2017. Visiting Scientist.
- Information Theory, Spring 2015. Visiting Scientist.
- Evolutionary Biology and the Theory of Computing, Spring 2014. Visiting Scientist.