Dr. Noam Koenigstein

Dr. Noam Koenigstein's academic journey began at the Technion – Israel Institute of Technology, where he graduated with honors in computer science for his B.Sc. degree.
He furthered his education at Tel-Aviv University, earning a M.Sc. degree in Electrical Engineering, and subsequently, a Ph.D. from the same school focused on machine learning algorithms for recommender systems.

In 2011, Dr. Koenigstein entered the industry as a member of Microsoft's Xbox Machine Learning research team, developing the algorithm for Xbox recommendations that reached millions of users globally. His trajectory within Microsoft culminated in him leading the recommendations research team for Microsoft’s Store.

In 2017, he embarked on a new role as Senior VP Head of Data Science at Citi bank’s Israeli Innovation Lab, responsible for supervising all data science initiatives in the Israeli research center.

In 2018, he transitioned back to academia, joining the Industrial Engineering department of Tel-Aviv University as a Senior Lecturer (Assistant Professor).

Currently, he is the director of the DEep Learning Technologies and Applications (DELTA) Lab at Tel-Aviv University's Department for Industrial Engineering. Here, he mentors students in the application of machine learning algorithms to an array of real-world problems.