Mr Chng Kai Fong was appointed Second Permanent Secretary of The Smart Nation and Digital Government Group (SNDGG) on 4 October 2021. He was the Managing Director of Singapore Economic Development Board (EDB) for four years before his term ended in early October 2021. Before EDB, he was the Principal Private Secretary to the Prime Minister of Singapore. He had also served in the Ministry of Trade and Industry, Civil Service College, Ministry of Home Affairs, and the Ministry of Communications and Information. As part of the Public Service’s development programme, he was also seconded for two years to Shell Eastern Petroleum.

Yoni Birman is the Cloud and AI Security Research Director of Huawei's Tel Aviv Research Center (Toga Networks).

The group solves cyber and privacy challenges for Huawei Cloud and AI Security Business Unit such as: Endpoint/Application/ Data/ML protection in the cloud domain using AI.

Prior to his current position Yoni served for 10 years in Unit 8200 in various positions in the domains of D.S and cyber security. His last position was the Head of Cyber Security R&D department.

Yoni is an External Assistant professor of Computer Science at Reichman University.

Yoni obtained his PhD at Ben-Gurion University, Software and Information Systems Engineering Department.

As the company’s Chief Analytics Officer, Reuven Shnaps leads the Earnix Analytics organization. In his role Reuven oversees and directs the company’s analytical and ML strategy & research. Reuven has spent more than 25 years developing and analyzing advanced statistical and economic models. Over his 15+ years at Earnix, he has gained extensive experience in crafting advanced analytical solutions, and managing and implementing pricing & analytical projects for leading financial institutions around the globe. Prior to joining Earnix, Reuven worked in the economic and statistical consulting group at Deloitte & Touche in the United States, serving corporate clients across multiple industries. He holds a PhD and a master of arts in economics from The University of Pennsylvania and a master of arts in business economics and a bachelor of arts in economics and statistics from Bar Ilan University.

Dr. Kira Radinsky is the chairperson 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. Dr. Radinsky has founded SalesPredict, acquired by eBay in 2016 and served as eBay Chief Scientist (IL). She gained international recognition for her work at the Technion and Microsoft Research for developing predictive algorithms that recognized the early warning signs of globally impactful events, as disease epidemics and political unrests. In 2013, she was named one of MIT Technology Review’s 35 Young Innovators Under 35 and in 2015 Forbes included her as "30 Under 30 Rising Stars in Enterprise Tech”. She is a frequent presenter at global tech and industry conferences, including TEDx, Wired, Strata Data Science, Techcrunch and publishes in HBR. Radinsky also serves as a board member in Israel Securities Authority and technology board of HSBC bank. She also holds a visiting professor position at the Technion focusing on the application of predictive data mining in medicine.
 

Andrew leads product development for the genomics team in Google Health. The genomics team develops methods that improve real-world applications in clinical genomics, population-level sequencing, drug discovery, and the combination of genomic and clinical data. Prior to Google, Andrew was Chief Scientific Officer at DNAnexus, where he supported many of the first large-scale genomics projects, such as the CHARGE Consortium, Regeneron-Gesinger and Regeneron-UKBiobank cohorts, the 3000 Rice Genomes Project, PrecisionFDA, and the St. Jude Pediatric Cancer Cloud. Andrew holds a PhD in Molecular Biology from Stanford University and a Bachelor’s degree in Physics from the University of Virginia.

I study the automation of the learning mechanism and its efficient algorithmic implementation. This study centers in the field of machine learning and touches upon mathematical optimization, game theory, statistics and computational complexity.

Yonina C. Eldar is a Professor in the Department of Math and Computer Science at the Weizmann Institute of Science, Rehovot, Israel, where she heads the center for Biomedical Engineering and Signal Processing. She is also a Visiting Professor at MIT and at the Broad Institute and an Adjunct Professor at Duke University, and was a Visiting Professor at Stanford University.

She is a member of the Israel Academy of Sciences and Humanities, an IEEE Fellow

and a EURASIP Fellow. She has received many awards for excellence in

research and teaching, including the IEEE Signal Processing Society Technical

Achievement Award, the IEEE/AESS Fred Nathanson Memorial Radar Award,

the IEEE Kiyo Tomiyasu Award, the Michael Bruno Memorial Award from

the Rothschild Foundation, the Weizmann Prize for Exact Sciences, and the

Wolf Foundation Krill Prize for Excellence in Scientific Research. She is the

Editor in Chief of Foundations and Trends in Signal Processing, and serves

the IEEE on several technical and award committees. She heads the Committee for Promoting Gender Fairness in Higher Education Institutions in Israel.

Dr. Greenspan received the B.S. and M.S. degrees in Electrical Engineering (EE) from the Technion, and the Ph.D. degree in EE from CALTECH – California Institute of Technology. She was a Postdoc with the CS Division at U.C. Berkeley following which she joined Tel-Aviv University.  From 2008 until 2011, she was a visiting Professor at Stanford University, Department of Radiology, Faculty of Medicine. She was also a visiting researcher at IBM Research in the Multi-modal Mining for Healthcare group, in Almaden CA.
Currently on Sabbatical, affiliated with BMEII (Biomedical Engineering and Imaging Institute) of the Radiology Dept, Ichan school of medicine, Mt Sinai, NY
Dr. Greenspan has over 150 publications in leading international journals and conferences and has received several awards and patents. She is member of several journal and conference program committees, including SPIE medical imaging, IEEE_ISBI and MICCAI.  She served as an Associate Editor for the IEEE Trans on Medical Imaging (TMI) journal.  In 2016 she was the Lead Co-editor for a Special issue on Deep Learning in Medical Imaging in IEEE TMI. In 2017 she Co-edited the first Elsevier Academic Press book on Deep learning for Medical Image Analysis.

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.

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.

Raja Giryes is an associate professor in the school of electrical engineering at Tel Aviv University. His research interests lie at the intersection between signal and image processing and machine learning, and in particular, in deep learning, inverse problems, sparse representations, computational photography, and signal and image modeling. Raja received the EURASIP best P.hD. award, the ERC-StG grant, Maof prize for excellent young faculty (2016-2019), VATAT scholarship for excellent postdoctoral fellows (2014-2015), Intel Research and Excellence Award (2005, 2013), the Excellence in Signal Processing Award (ESPA) from Texas Instruments (2008) and was part of the Azrieli Fellows program (2010-2013). He is an associate editor in IEEE Transactions on Image Processing and Elsevier Pattern Recognition and has organized workshops and tutorials on deep learning theory in various conferences including ICML, CVPR, and ICCV. He serves as a consultant in various high-tech companies including Innoviz technologies and developed a technology that was used as the basis for the MultiVu technologies startup. 

Jonathan Berant is an associate professor at the School of Computer Science at Tel Aviv University. Jonathan earned a Ph.D. in Computer Science at Tel Aviv University under the supervision of Prof. Ido Dagan. Jonathan was a post-doctoral fellow at Stanford University, working with Prof. Christopher Manning and Prof. Percy Liang, and subsequently a post-doctoral fellow at Google Research, Mountain View. Jonathan received several awards and fellowships including the Rothschild fellowship, the ACL 2011 Best Student Paper award, EMNLP 2014 Best Paper award, and NAACL 2019 Best Resource Paper award, as well as several honorable mentions. Jonathan is currently and ERC grantee.

Abba Krieger is the Robert Steinberg Professor Emeritus of Data Science and Statistics at the University of Pennsylvania. He is a fellow of the American Statistical Association, the Institute of Mathematical Statistics and the International Statistical Institute. Abba was his department’s chairman, headed the review committee for the Statistics Department at Harvard, headed the MALAG committee that reviewed the statistics department in Israel and is currently heading the monitoring committee for VATAT for the data science programs at the seven universities in Israel. Abba is widely published and has the distinction of being the only person who has written papers with the two Israel statisticians who won the Israeli Prize, Ester Samuel-Cahn and Yoav Benjamini.

Dr. Amichai Painsky is an Assistant Professor at the Industrial Engineering Department of Tel Aviv University. Amichai received his B.Sc. in Electrical Engineering from Tel Aviv University (2007), his Masters in Electrical Engineering from Princeton University (2009) and his Ph.D. in Statistics from Tel Aviv University (2016). Following his graduation, Amichai joined Massachusetts Institute of Technology (MIT) as a postdoctoral fellow (2019). Amichai’s research focuses on statistical inference and learning, and their connection to information theory.

Dror Bin is the CEO of the Israel Innovation Authority, an independent public entity that operates for the benefit of the Israeli innovation ecosystem and Israeli economy as a whole. Its role is to nurture and develop Israeli innovation resources, while creating and strengthening the infrastructure and framework needed to support the entire knowledge industry. Prior to his role at the Authority, Dror served as President and CEO of RAD Data Communications, a leading global telecom network solutions company with hundreds of employees at the company's headquarters in Tel Aviv, a manufacturing center in Jerusalem and development center in Beer Sheva as well as dozens of corporate branches around the world. Dror also served in a series of positions for close to a decade at Comverse Technology, the last one as a member of the management team and VP of Global Sales. Following this, Dror served as a venture partner at Carmel Ventures and a chairman at several of its portfolio companies. In addition, Dror served as a partner at Shaldor, a leading management consulting firm in Israel, where he led the development and implementation of business and marketing strategies for major organizations in the financial, consumer, retail, high-tech, banking and other industries. Dror holds two bachelor’s degrees from the Technion – Israel Institute of Technology: one in systems information engineering and the other in industrial management, as well as an MBA from Tel Aviv University.