Moshe Shenfeld completed his undergraduate degree with a triple major in physics, math, and computer science. After graduation, Moshe worked as an algorithms developer at Mobileye Technologies, where he later became a team manager. The research areas of his job include 3-D modeling, noise analysis and Projective geometry. Moshe started his MSc in parallel to his job, where under advisory of Katrina Ligett, he studies differential privacy. In his thesis, Moshe focuses on the usage of differential privacy as a generalization tool, and searches for alternative definitions, lower and upper bounds on the generalization abilities of mechanisms.
- Data Privacy: Foundations and Applications, Spring 2019. Visiting Graduate Student.