Gilad Fuchs is a senior research scientist at eBay, specializing in AI and machine learning, with a focus on e-commerce NLP applications. He holds a PhD and MSc in Life Sciences from the Weizmann Institute of Science, and a BSc from the Biology and Philosophy departments of Tel Aviv University.

Annie Degani is Head of Business Development at FinSec Innovation Lab, a joint venture by Mastercard and EnelX for fintech and cybersecurity startups. Annie leverages her extensive knowledge to spearhead strategic partnerships, identify emerging trends, foster innovation, and drive startup value creation. Annie joined FinSec Innovation Lab after being a Director at Deloitte, leading the Israeli practice for R&D and Innovation Incentives. From innovative early to late-stage startups, government bodies, and Fortune 500 companies, over the years Annie has supported hundreds of entrepreneurs and professionals with their strategic product design and roadmap development that led to successful product launches, scaling reach, and enhancing growth in international markets.
Annie holds a BSc in Life Sciences and Art History (cum laude) from Tel Aviv University. 
 

Yael Rosenberg is a Department Manager at the Technological Infrastructure division at the Israel Innovation Authority. In this position she heads the infrastructure department withing the Technological Infrastructure division and is responsible for promoting industry needs for R&D infrastructure. She is responsible to enabling technological development and foster stronger cooperation between companies as well as knowledge transfer from academia to the industry.

Yael has vast experience in the field of R&D development as well as in leading development teams in various Israeli tech companies and industries, including cyber, security, data storage, medical devices and telecommunications.

Yael holds a M.Sc in Computer Science from the Israeli Bar-Ilan University.
 

Moni Shahar (PhD) holds first degrees in Mathematics, Physics and Computer Science, and holds a PhD in Electrical Engineering from Tel Aviv University. In the last 25 years he has held a variety of algorithmic leadership positions in the high-tech industry. His work spans a variety of areas including machine vision, NLP, algorithmic finance, machine learning and applied physics. In parallel to his industrial job, he teaches in the Department of Statistics and has published over 25 scientific papers.

Professor Karine Nahon is the head of the data, government and democracy program, an Associate Professor of Information Science in the Lauder School of Government and Ofer School of Communications at Reichman University (IDC) in Israel. Former president of the Israeli Internet Association (ISOC-IL). Previously, she held a tenured position as faculty at the Information School at University of Washington, directed the Virality of Information (retroV) research group, and directed the Center for Information & Society at University of Washington. She is the author of the award-winning book ‘Going Viral’ and was named on The Marker’s list of 100 most influential people in Israel and on Forbes' list of 50 Most Influential Women in Israel.  
Prof. Nahon is a prominent voice in the area of politics of information. She plays an active role in civil society, leads and participates in developing national policies in the area of information society, disinformation and challenges to democracies. On October 7th, 2023, she co-established and led the missing and hostages’ array in the civil war-room. 
Her public roles in the past include, among other things acting as chairwoman of the national sub-committee of Ethics, Regulation and Artificial Intelligence; member of the national committee examining regulations of platforms; member of the national committee examining the election law, member of the Chief Information Officer (CIO) Cabinet, representing Israel in the UN in the committee for science and technology and more. She co-founded in Israel two NGOs: Privacy Israel and the digital rights movement. She served as a board member of Wikimedia, the Freedom of Information Movement and of the Open Knowledge Workshop.
Professor Nahon's distinguished career reflects her deep commitment to advancing the understanding and governance of the information society, making her a pivotal figure in the intersections of information technology, democracy, and policy.
 

Colonel retired, 24 years of service at 8200, Intelligence corps, Cyber R&D and Operations. Head of 3060, AI Technological R&D unit, Responsible for developing Data Science systems and applications. 

Merav Mofaz is a Senior Data Scientist at Microsoft, specializing in the development of AI-based products for education. She completed her PhD at Tel Aviv University in the field of personalized medicine and is an award-winning lecturer in the Faculty of Engineering.

Gal Yona is a Research Scientist at Google Research, Tel Aviv, where she is working on improving factuality in large language models, with an emphasis on robustness and uncertainty. Before joining Google, Gal completed her PhD in Computer Science at the Weizmann Institute of Science, developing definitions and algorithms for preventing discrimination in machine learning models. Gal received numerous awards during her PhD, including the Blavatnik Prize for Outstanding Israeli Doctoral Students in Computer Science (2022) and the Google PhD Fellowship in Machine Learning (2021).

Michal is a research scientist at Bosch Center for AI. Previously, she was a postdoctoral fellow at the Qualcomm Institute of the University of California San Diego and a postdoc at Tel-Aviv University. Her interests lie in the foundations of AI, and in the last three years she has been focused on developing the mathematical foundations of explainable machine learning.

Michal received her Ph.D. from the Hebrew University and an MSc from Tel-Aviv University. During her Ph.D., Michal interned at the Machine Learning for Healthcare and Life Sciences group of IBM Research and the Foundations of Machine Learning group of Google. Michal has been selected as a 2021 EECS MIT Rising Star, the recipient of the Anita Borg scholarship from Google and the Hoffman scholarship from the Hebrew University.

Professor Irad Ben-Gal is the head of the Laboratory of AI Business & Data Analytics (LAMBDA) at the Engineering Faculty in Tel Aviv University. He held a visiting professor position at Stanford University, teaching “analytics in action” and co-heading the TAU/Stanford “Digital Living 2030” research initiative that focuses on future challenges of modern digital life. Irad is a world-renowned expert in practical machine learning, statistical process control and predictive analytics with more than 20 years of experience in the field, including R&D collaborations with companies such as Oracle, Intel, GM, AT&T, Applied Materials and Nokia. He wrote four books, published more than 100 scientific papers and patents, supervised dozens of graduate students and received numerous awards for his work. Irad is the co-founder and chairman of CB4 (“See Before”), a startup backed by Sequoia Capital that provides predictive analytics solutions to retail organizations. He is an advisory board member in several startup companies that focus on AI applications.

Amit Bleiweiss is a Senior Data Scientist at NVIDIA where he focuses on Large Language Models and Natural Language Processing. He has 25 years of experience in applied machine learning and deep learning, with over 50 patents and publications in the domain. Amit received his MSc from Hebrew University of Jerusalem, where he specialized in machine learning

Hadas Orgad is a PhD student at the Technion, advised by Dr. Yonatan Belinkov. Her research focuses on understanding the internal mechanisms that guide the decision-making processes of AI models. Specifically, she is working on combating hallucinations, social biases and safety concerns. Her primary objective is to apply insights from interpretability of AI models to improve their robustness and create models that are both effective and fair.
Hadas is a former research intern at both Microsoft  and Apple, and has recently received the Apple Scholars in AIML PhD fellowship.
 

Gali Katz (PhD), is a machine learning engineer, and a public speaker advocate, working in the Taboola’s Algorithms group. Recently worked on diversifying the content served in Taboola personalized homepages and on serving localized content using LLMs.

Zach is an MSc student at the Technion under the supervision of Dr. Yonatan Belinkov. Zach's research is focused on enhancing the discourse capabilities of language models, and introducing inductive biases to make pre-training and alignment (RLHF) of language models more effective. Zach is a graduate of Cornell University, where he was a research assistant in Professor Claire Cardie's Lab. After graduating from Cornell, Zach worked at Google (Mountain View) for nearly 3 years, building an offline-RL library in Google Brain, and then pre-training small language models as part of the Federated Learning team at Google. Zach also interned at Google Tel Aviv in the summer of 2022, building a causal-inference based approach to quantifying the social bias of language models. On October 7th, Zach started Social Media for Israel (now Rhetoric AI), to leverage his work in persuasive argumentation to help in Hasbarah.