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.

Dr. Kira Radinsky is the CEO and CTO of Diagnostic Robotics, where the most advanced technologies in the field of artificial intelligence are harnessed to make healthcare better, cheaper, and more widely available.
In the past, she co-founded SalesPredict, acquired by eBay in 2016, and served as eBay director of data science and IL chief scientist.
One of the up-and-coming voices in the data science community, she is pioneering the field of medical data mining.
Dr. Radinsky gained international recognition for her work at Microsoft Research, where she developed predictive algorithms that recognized the early warning signs of globally impactful events, including political riots and disease epidemics. In 2013, she was named to the MIT Technology Review’s 35 Young Innovators Under 35, in 2015 as Forbes 30 under 30 rising stars in enterprise technology, and in 2016 selected as "woman of the year" by Globes. She is a frequent presenter at global tech events, including TEDx, Wired, Strata Data Science, Techcrunch and academic conferences, and she publishes in the Harvard Business Review.
Radinsky serves as a board member in: Israel Securities Authority, Maccabi Research Institute, and technology board of HSBC bank. 
Dr. Radinsky also serves as visiting professor at the Technion, Israel’s leading science and technology institute, where she focuses on the application of predictive data mining in medicine.
 

A scientist, inventor, and technology visionary, Michael is passionate about making life better with technology and particularly AI. He has almost twenty years of experience in developing and leading successful projects in diverse technological areas. He co-founded several companies in the past and holds a Ph.D. in EE from Technion - Israel Institue of Technology. Currently, Michael is leading the AI research activities in Playtika - a world leader in mobile games. Playtika made AI the focus of the company's growth strategy and AI touches every aspect of its games.

Seasoned team leader, with over a decade of experience, solving complex industry problems, ranging from physical modeling to data science & deep-learning.

Holds a BSc in computer science and physics, and a PhD in computational neuroscience. After his PhD, he was a postdoctoral fellow at the University of Toronto and a postdoctoral fellow at MIT. His research interests include machine learning, deep learning, graphical models, optimization, machine vision, and natural language processing. His work has received several prizes including five paper awards at NeurIPS, ICML and UAI. In 2019, he received the ERC Consolidator Grant.

Isaac is the Founder and CEO of Quris. Prior to Quris, Isaac founded and led three bio-AI technology companies, each of which led revolutions in medicine, genomics, agriculture and conservation. Isaac is a physician and entrepreneur with a passion for leading interdisciplinary teams of scientists and technologists to tackle impactful challenges in the intersection between machine-learning and life-sciences; and to leverage and commercialize the resulting solutions. One of the companies that he founded was Rosetta Genomics (NASDAQ:ROSG), which analyzed the human genome. Isaac led the team at Rosetta Genomics in the discovery of hundreds of novel genes, more so than all the universities in the world combined, and delivered novel cancer diagnostics based on these genes. Its subsidiary, Rosetta Green (TASE:RSTG), was acquired by Monsanto for $35M. Under Isaac’s leadership, team members at Rosetta went on to lead artificial intelligence at IBM, Google and Microsoft. Now, at Quris, Isaac and his team are using a similar bio-AI approach to disrupt the drug development process.

Olga Megorskaya is a CEO at Toloka AI, a global tech company that offers a data-centric environment to support fast and scalable AI development with the help of human insight from around the world (120+ countries, 40+ languages) gathered in a secure and responsible way. 
Previously, Olga developed data production infrastructure and implemented effective use of crowdsourced data labeling for ML-based products in various industries (IT, E-Commerce, Telecom, Ridetech, and others) and tech domains like NLP and CV. 
Olga is a co-author of research papers and tutorials on efficient crowdsourcing and quality control at SIGIR, CVPR, KDD, WSDM, and SIGMOD, and spoke at a number of top-tier scientific conferences including NeurIPS and ICML. 

Assaf founded the AI department at Playtika and implemented an ML strategy that emphasized putting people at the center and promoting autonomy in innovation. As a result, the AI department became the driving force behind the company's growth strategy. He also promoted the development of an advanced ML platform to democratize and standardize AI across the organization. The department now conducts research and develops solutions for various areas of gaming and advertising operations under his leadership. With extensive experience as a researcher in computer vision and a variety of managerial roles in data science, Assaf holds a Bachelor's and Master's degree in Electrical and Computer Engineering, with a specialization in Machine Learning from Ben Gurion University of the Negev. He is excited about meaningful and valuable work, with good people, and is passionate about the special connection between data, algorithms, and real business needs that require innovation.

Assaf Zeevi is Professor and holder of the Kravis chair at the Graduate School of Business and the Data Science Institute, Columbia University. His research and teaching interests lie at the intersection of Operations Research, Statistics, and Machine Learning. In particular, he has been developing theory and algorithms for reinforcement learning, Bandit problems, stochastic optimization, statistical learning and stochastic networks. Assaf is a member of several scientific advisory boards for startup companies in the high technology sector.  His work has found applications in online retail, healthcare analytics, dynamic pricing, recommender systems, and online marketplaces. Assaf received his B.Sc. and M.Sc. (Cum Laude) from the Technion, in Israel, and subsequently his Ph.D. from Stanford University in 2001. He has held visiting positions at Stanford University, the Technion and Tel Aviv University. 

Meir Feder is a Chaired Professor, holder of the Information Theory Chair, at the School of Electrical Engineering, Tel-Aviv University. He is also the head of the newly established Tel-Aviv university center for Artificial intelligence and Data science (TAD). In addition, he is a Visiting Professorship appointment at the Massachusetts Institute of Technology (MIT). His research interests are in information theory, signal processing communication and learning. Parallel to his academic career, he is closely involved with the high-tech industry. He founded 5 companies, among them Peach Networks (Acq: MSFT) and Amimon (Acq:LON.VTC). Recently, with his renewed interest in machine learning and AI, he co-founded Run:ai, a virtualization, orchestration, and acceleration platform for AI infrastructure. Prof. Feder is an IEEE Life fellow. He received several academic and professional awards including the IEEE Information Theory Society best paper award for his work on universal prediction, the “creative thinking” award of the Israeli Defense Forces, and the Research Prize of the Israeli Electronic Industry, awarded by the President of Israel. For the development of Amimon’s chip-set, that uses a unique MIMO implementation of joint source-channel coding for wireless video transmission he is a co-reciepient of the 2020 Scientific and Engineering Award of the Academy of Motion Picture Arts and Sciences. He is also the principal inventor of the technology behind the product Teradek Bolt 4K that attained the 73rd Engineering Emmy Award of the Television Academy.

Ofir Bibi is the VP of Research at Lightricks. Bringing the latest and greatest in ML to the core of consumer products, creating efficient research pipelines, methodologies and growing great researchers. His research interests are in the fields of efficient machine learning, statistical signal processing, computational photography and computer graphics. He has taken leading research positions in building systems for estimation and prediction, market optimization and recommendations, but his true passion is in solving challenges by a precise mix of engineering and research. 

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.

I'm a machine learning generalist with backgrounds in numerical science, approximation theory, and optimization. My interests span the gamut from foundations and proven error bounds to designing effective and ethically sensitive ML workflows for important social issues. I have long term research ambitions related to generalized artificial intelligence, and have a Ph.D. in Computer Science from Virginia Polytechnic Institute and State University.

Elad Mandelbaum joined Elbit Systems - EW & SIGINIT - Elisra in 2010 as an Algorithm Engineer. From 2010 to 2021, Elad worked in Elisra's Computer Vision R&D group and helped design the algorithms for Elisra's IR-based missile warning systems. Since 2021, he has been working in the AI R&D group at Elisra. Elad holds a master's degree in applied mathematics and a bachelor degree in physics and mathematics from Tel Aviv University.