Vitaly Feldman is a research scientist at Apple AI research working on theoretical aspects of machine learning and private data analysis. Recent topics include role of memorization in learning, tools for analysis of generalization, distributed privacy-preserving learning, privacy-preserving optimization, and adaptive data analysis. He 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.