​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. Prof. Yahav is also 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. Prof. Yahav also serves in the advisory board of 8sense and 42a.

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 an Associate Professor 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.

Prof. Dov Te'eni is an Emeritus Professor at Tel Aviv University, School of Management. Dov researches how computers support work, with an emphasis on decision-making processes, communication, and knowledge sharing. He has published in leading journals such as Organization Science, Management Science, and MIS Quarterly, the latter of which earned him the Best Paper Award in the journal in 2001. To date, he has published over 200 scientific articles. Professor Te'eni served as a senior editor for leading journals in the field of information systems and was appointed Editor-in-Chief of the European Journal of Information Systems. He was elected to serve as President of the Association for Information Systems (AIS), the international body for information systems researchers. In 2015, he received the LEO Award for lifetime exceptional achievements.