​Prof. Inbal Yahav is an accomplished expert in developing ML and NLP architectures with a background in CS and data mining. Her work is driven by a passion for interdisciplinary research, leading to exciting collaborations with the Department of Law and Middle East Studies. She also serves as an editor for INFORMS Journal on Data Science and is one of the authors of the textbook "Machine Learning for Business Analytics: Concepts, Techniques, and Applications in R". As a trusted Data Science consultant, she works with leading organizations such as the Bank of Israel, Midgam Research & Consulting Ltd., and the Ministry of Education.

Tomer Geva is an experienced machine learning and data science researcher with a focus on solving business problems and developing methods to improve predictive accuracy. He is a tenured senior lecturer at Tel-Aviv University and founder of its Business Data Science Program, which he led for six years. Tomer's research has been published in leading Machine Learning and Management journals, and he has received generous funding from various foundations and companies, including the Israel Science Foundation and Google. Tomer serves as an editor for leading Information Systems journals, including MIS Quarterly and Decision Support Systems. He has extensive industry experience, having worked with high-tech companies, financial organizations, and the public sector in the fields of Machine Learning, AI, NLP, and Data Science.

Dr. Moshe Unger is an expert in developing machine learning, deep learning and AI methods to solve business problems. His research focus in recommender systems and developing data science methods that safeguard privacy while enabling organizations to make informed decisions based on big data. He earned his doctorate from Ben Gurion University and completed a post-doctorate at New York University's business school. He has managed multiple projects at the Cyber Security Research Center and worked collaboratively with leading companies, including Spotify and Dell EMC. Additionally, Dr. Unger currently serves as an Amazon visiting academic.