Roi Livni is an assistant professor at Tel Aviv University EE. He received his Ph.D from the Center for Brain Sciences (ELSC) at The Hebrew University of Jerusaelm under the supervision of Amir Globerson. After that he was a research instructor at Princeton University, where he conducted his postdoctorate. His research focuses on Learning theory with special emphasis on generalization theory, privacy and generative learning. Roi is the recipient of several awards and fellowships. Such as the Google Phd Fellowship, Rothschild postdoctoral fellowship, COLT 2013 Best student paper award, ICML 2013 Best Paper award, FOCS 2020 Best paper award and COLT 2021 Best paper runner-up.

Shiri Stempler is the Director of Collaborative Research at the Center for AI and data science (TAD) and the Director of Research Development at the Faculty of Life Sciences at Tel Aviv University. Shiri holds a PhD in Bioinformatics from Tel Aviv University. She received several awards for her scientific work in the fields of machine learning and drug discovery, including the Alzheimer's Drug Discovery Foundation (ADDF) young investigator award. During 2019-2021 she was the Director of Research Development at the Office of Research at TAU.

Naama is a clinical research scientist in Google Health. In this role she focuses on developing machine learning models for the detection of ocular and systemic diseases from medical images. Naama is an ophthalmologist with a subspecialty in glaucoma. She completed her medical and ophthalmology training at Tel-Aviv University; her glaucoma fellowship at the Shiley Eye Institute, UC San Diego; and her ophthalmic informatics fellowship at the UC Davis Eye Center.

Mads Nielsen is professor of Computer Science at University of Copenhagen, Co-director of the Pioneer Centre in AI, Founder of Cerebriu A/S, Biomediq A/S, Aiomic aps. His major research has been in medical image analysis and its mathematical foundations with a specialty in neurological disorders, breast cancer, osteoporosis, osteoarthritis and lately also in Covid-19. He has obtained more than 20 patents and has published more than 300 papers. In 2012 he co-auhtored with Andrew Ng one of the first papers on deep learning in medical image analysis.

Sarit Kraus (Ph.D. Computer Science, Hebrew University, 1989) is a Professor of Computer Science at Bar-Ilan University. Her research is focused on intelligent agents and multi-agent systems integrating machine-learning techniques with optimization and game theory methods. For her work she received many prestigious awards. She was awarded the IJCAI Computers and Thought Award, the ACM SIGART Agents Research award, the ACM Athena Lecturer, the EMET prize and was twice the winner of the IFAAMAS influential paper award. She is an ACM, AAAI and EurAI fellow and a recipient of the advanced ERC grant. She also received a special commendation from the city of Los Angeles. She is an elected member of the Israel Academy of Sciences and Humanities.

Deborah Cohen received the B.Sc. degree in electrical engineering (summa cum laude) in 2010 and the Ph.D. degree in electrical engineering (valedictorian) in 2016 from the Technion - Israel Institute of Technology, Haifa. Her research focused on signal processing and compressed sensing with application to communication and radar, and resulted in more than 40 academic papers. In 2011, Ms. Cohen was awarded the Meyer Foundation Excellence prize. She received the Sandor Szego Award and the Vivian Konigsberg Award for Excellence in Teaching from 2012 to 2016, the David and Tova Freud and Ruth Freud-Brendel Memorial Scholarship in 2014 and the Muriel and David Jacknow Award for Excellence in Teaching in 2015. Since 2014, Ms. Cohen has been an Azrieli Fellow. She joined Google in 2016 and is currently a Senior Research Scientist in the ML and NLP teams in Google Israel, working on conversational AI and reinforcement learning.

Dr. Yamin (Ph.D.) is a faculty member at the Department of Industrial Engineering at Tel Aviv University, and a former faculty member in the Center of Infectious Disease Modeling and Analysis, in the school of public health at Yale University. Dr. Yamin received four research prizes awards and five teaching prizes awards. Dr. Yamin’s studies contributed to impact health policy against influenza in Israel, offered novel strategies to eliminate Ebola that were implemented in Liberia. He received a European Research Council (ERC) grant to pursue research on the early detection of infectious diseases using smartphones. He recently advised the Ministry of Health and the Ministry of Finance to identify hotspots and apply effective strategies against the COVID-19 Pandemic in Israel.

Uri is an AI consultant who helps organizations choose and implement the best AI solution for their needs. In addition, Uri founded the largest AI community in Israel called "Machine and Deep Learning Israel". The community has over 26,000 members who are the top AI talents in Israel. Alongside that, Uri is a worldwide lecturer that has been speaking about AI in stages all over the world.

Wiro Niessen is professor in Biomedical Image Analysis and Machine Learning at Erasmus MC and Delft University of Technology. His interest is in the development, and validation of quantitative biomedical image analysis methods, and linking imaging and genetic data for improved disease diagnosis and prognosis, using machine learning. He supervised 56 PhD students in these fields. He is fellow and was president of the MICCAI Society, and is CTO of Health-RI, which aims to develop a national health data infrastructure for research and innovation. In 2015 he received the Simon Stevin award, the largest prize in the Netherlands in Applied Sciences. In 2017 he was elected to the Royal Netherlands Academy of Arts and Sciences. In 2012 he founded Quantib, an AI company in medical imaging, where he is now scientific lead.

EE PhD student at Tel Aviv University, advised by Prof. Hayit Greenspan. Prior to that, I received my Bachelor's degree in EE at Tel Aviv University. My current research interests include deep learning and computer vision with applications to medical imaging, especially, fusing diverse data modalities such as imaging, free text, and structured tabular data for medical prognosis models.

Daniel Gabay is CTO and Co-Founder of Trigo. He is a graduate of the Talpiot program in the IDF, where he gained a B.Sc. in Mathematics, and M.Sc. in Physics, from The Hebrew University of Jerusalem. Daniel has more than ten years of experience in leading research teams, algorithmic projects, and AI. Awarded for the Forbes Israel 30 under 30 in 2019. About Trigo: Trigo Vision is a startup company developing the technology for a seamless shopping experience. Customers can go inside a store and go out without waiting in lines at all. Trigo’s system monitor the shoppers and automatically generate shopping lists during the purchase.

Ofri Wechsler is a senior Intel fellow in the Data Center and AI group. Ofri leads the New AI Technologies group which is developing technologies for future generations of Intel’s AI products. Ofri is one of Intel first entrepreneurs in the AI space and is always looking for ground breaking technologies in this and in adjacent spaces. Ofri has a 33 years history of developing leading CPU architectures for Intel. 

Mr. Mark Kapel serves as the Chief Technology Officer of Evogene since 2018. Prior to that, Mr. Kapel served as the Director of Information Technologies & Data Management from 2013. Mr. Kapel joined Evogene in 2005 and has held various positions in the company over the years. Mr. Kapel holds a B.Sc. in Physics & Computers from the Ben Gurion University of Negev, an MBA majoring in Management of Technology from Tel Aviv University’s Faculty of Management – Recanati Graduate School of Business Administration.

Dr. Kisilev graduated from the Technion, Israel Institute of Technology in 2002 with a Ph.D in Electrical Engineering and Computer Sciences. Before joining Huawei, he held various senior and lead researcher positions in Hewlett-Packard and IBM Research Labs. Since 2016, he has been serving as the CTO of Cognitive Computing and AI (CCAI) Lab at Huawei Research Center in Israel. Dr. Kisilev research interests include computer vision, deep learning, general statistical methods in learning theory, optimization and inverse problems. He proposed a novel use of sparse multi-node approaches in blind source separation problems, which allowed qualitative break-through in the separation accuracy. He had pioneered locally-adaptive image analysis framework that was deployed in various HP products, including digital cameras, printers and scanners. Dr. Kisilev pioneered the field of semantic description of medical images using Structured Deep Learning methods for human-like detection and description of medical findings. In his current position of the CTO of CCAI Lab at Huawei Israel Research Center, Dr. Kisilev has been leading and managing advanced research and development teams and projects, including: Autonomous Driving, Efficient Neural Network technologies, Distributed synchronous and asynchronous Neural Network training, AI for Communication and others. Dr. Kisilev is an author of over 80 filed patents (over 40 granted), of 4 book chapters, and of over 70 papers in top journals and conferences in various fields of Computer Science.