Gal Chechik is a Professor of Computer Science at Bar-Ilan University and a Director of AI at NVIDIA. His research spans learning in brains and machines,  focusing mainly on deep machine learning for perception and reasoning.
In 2018 Gal founded the NVIDIA Research Group in Israel, and has been leading it since. Prior to that, he was a staff research scientist at Google working on machine perception and search.  Gal is the author of ~120 refereed publications, and 50 patents, including publications in Nature Biotechnology, Cell and PNAS. His research was awarded best papers in ICML and NeurIPS. 

Tamir Hazan received his PhD from the Hebrew University of Jerusalem and he is currently an assistant professor at the Technion. Tamir Hazan’s research describes efficient methods for reasoning about structured models and recently on structured attention models in deep learning. His work on random perturbations enables to propagate gradients through discrete structured predictions in deep nets and a book on these contributions was published by MIT Press on 2016, and was acknowledged by a best paper shortlist at ICML 2012 and in the machine learning best papers track at AAAI 2012. Tamir Hazan’s research also includes the primal-dual norm-product belief propagation algorithm which received a best paper award at UAI 2008.

Mr. Gaby Portnoy, is the Director General of the Israel National Cyber Directorate (INCD). DG Portnoy was appointed by the Prime Minister in February 2022.

Mr. Portnoy began his professional career in the intelligence field when he was recruited in 1988 to the Special Operations Directorate of the Intelligence Corps in the IDF. Portnoy served in the Intelligence Corps for over 30 years, where he held a number of senior commanding and management positions, which combine intelligence, operations, strategy and International cooperation development.

Among the command positions he held: Head of operations in the Intelligence Corps, Commander of Unit 9900 and Head of the Planning, Standards and Budgets Department at the Intelligence Corps.

After 31 years of service, Brig-Gen Portnoy retired in 2019 from his military service and moved to "EnVizion Medical", a high-tech company, where he served as Deputy CEO until his appointment as DG of the INCD.

DG Portnoy holds a bachelor's degree in Industrial Engineering and Design from Shenkar College, and an MBA from Ono Academic College.

Mr. Portnoy is married and father of three.

Reuth Mirsky is a senior lecturer in the Computer Science Department at Bar Ilan University. Before her current position, she was a postdoc at the Computer Science Department at the University of Texas at Austin. She received her Ph.D. on plan recognition in real-world environments from the Department of Software and Information Systems Engineering at Ben Gurion University. In her research, she seeks algorithms, behaviors, and frameworks to improve AI with human-inspired design. Some of her recent roles are a program chair for the symposium on Technological Advances in Human-Robot Interactions (TAHRI), a guest editor in Frontiers of Artificial Intelligence in a special issue on Plan and Goal Recognition, and a senior program committee member for ECAI. Reuth is part of the HRI consortium funded by the Israeli Innovation Authority and was selected as one of the 2020 Electrical Engineering and Computer Science (EECS) Rising Stars. https://sites.google.com/site/dekelreuth/

Jerome Tubiana is a Senior Lecturer (since Oct. 1st 2023) at the School of Computer Science of Tel Aviv University (TAU). He is also affilated to the Edmond J. Safra Center for Bioinformatics. Previously, he was a HFSP and Edmond J. Safra postdoctoral fellow at TAU. He received his B.Sc. (2012), M.Sc. (2014) and Ph.D. (2018) in Physics from l’Ecole Normale Supérieure (ENS). His research focuses on the development of Machine Learning algorithms for elucidating the relationship between the sequence, structure, function and evolution of proteins. He then apply these tools to identify functional sites in proteins, assess the impact of mutations on function and design new proteins.

Bettina Stark-Watzinger has been Federal Minister of Education and Research since December 2021. She has been member of the German Bundestag since 2017, representing constituency 181 - Main-Taunus. She is Chair of the Free Democratic Party (FDP) in Land Hesse and Member of the Federal Executive and Presidium of the FDP.

Bettina Stark-Watzinger was born on 12 May 1968 in Frankfurt am Main and lives in Bad Soden am Taunus. She is married and the mother of two daughters.

Rony Shalit, Bright Data VP of Compliance and Ethics As VP of Compliance and Ethics, Shalit is responsible for growing and shaping Bright Data's ethical approach regarding web data collection and proxy usage for years to come, which will also set the standard for the industry. Shalit came to Bright Data with a wealth of experience, which includes over ten years with KPMG ensuring the highest standards of compliance, ethics, risk management, and increased corporate governance.

Nadav Cohen is an Asst. Professor of Computer Science at Tel Aviv University, and Chief Scientist at Imubit. His academic research revolves around the theoretical and algorithmic foundations of deep learning, while at Imubit he leads the development of deep reinforcement learning systems controlling industrial manufacturing lines. Nadav earned a BSc in electrical engineering and a BSc in mathematics (both summa cum laude) at the Technion Excellence Program for Distinguished Undergraduates. He obtained his PhD (direct track, summa cum laude) at the Hebrew University, and was subsequently a postdoctoral scholar at the Institute for Advanced Study in Princeton. For his contributions to deep learning, Nadav won a number of awards, including the Google Research Scholar Award, the Google Doctoral Fellowship in Machine Learning, the Final Prize for Machine Learning Research, the Rothschild Postdoctoral Fellowship, the Zuckerman Postdoctoral Fellowship, and TheMarker's 40 under 40 list.

Data and analytics leader with over 20 years of experience in various industries. Joined Playtika 3 years ago as Head of data & analytics and recently got the AI domain under my responsibility.

Hold BSC in industrial engineering and information systems from the Technion.

Mor Geva is an Assistant Professor at the Blavatnik School of Computer Science at Tel Aviv University and a Visiting Researcher at Google Research. Her research is in the field of Natural Language Processing, where she studies the inner-workings of language models in order to increase their transparency and efficiency, control their operation, and improve their reasoning abilities. Mor completed a Ph.D. (direct track) in Computer Science and a B.Sc. in Bioinformatics, both at Tel Aviv University, and was a postdoctoral researcher at Google DeepMind and at the Allen Institute for AI (AI2). She was nominated as one of the MIT Rising Stars in EECS and is a laureate of the Séphora Berrebi Scholarship in Computer Science. She recently received an Outstanding Paper Award at EACL 2023.

Ofir Bibi, VP Research at Lightricks, has led the research department of 40+ researchers for the past eight and a half years and counting. Ofir specializes in bringing core technologies and ML solutions into products. Ofir has a vast experience in building products and processes by utilizing data to the furthest extent. His main research focus is on Machine Learning, Statistical Signal Processing, and Optimization.

Bar Tamir is a research scientist and algorithm developer in the NLP/GenAI group at WSC Sports. He holds an M.Sc. in Computer Science with a specialization in NLP, and a B.Sc. in Computer Science and Cognitive Science, both from the Hebrew University of Jerusalem. 
Previously he worked at PayPal and Amazon research.
 

Tal Pupko is a professor of bioinformatics and molecular evolution in the Shmunis School of Biomedicine and Cancer Research at Tel Aviv University (TAU). He received his PhD in TAU 2001 and in 2003, he returned to Israel as a faculty member. His research is focused on various fields of molecular evolution and bioinformatics and combines methods from machine-learning, statistical inference, phylogenomics and microbial pathogenesis.

Jonathan Herzig is a senior Research Scientist at Google Research where he works on Natural Language Processing. Before that he completed his PhD and MSc at Tel Aviv University and also worked as a research staff member at IBM Research. Jonathan was a Google PhD fellow during his graduate studies. His work has been recognized by a best resource paper award in NAACL 2019 and a best short paper award at INLG 2017.