Mapping Series Lecture - Jack Hidary - March 6, 4 p.m.

Event time: 
Wednesday, March 6, 2019 - 4:00pm
WHC Auditorium See map
53 Wall Street
New Haven
Event description: 

Official bio for our guest:

Jack D. Hidary works on AI and Quantum Computing at Alphabet (Google X).  Jack’s work on AI includes investigation into the dynamics of generalization of deep learning  neural networks.  Here is a link to Jack’s recent  AI papers.  Jack’s work in quantum computing includes a forthcoming book on  applied quantum computing.

Jack’s first company he founded is EarthWeb,  a company dedicated to the needs of tech professionals.  Jack led the company from its inception through three rounds of investment and then its IPO.  Under Jack’s leadership, EarthWeb acquired, a website that connects users with IT positions, and other sites dedicated to the needs of IT professionals.  As Chairman and CEO of the public company, Jack continued to grow the company and engage with shareholders, customers and analysts.  (NYSE: DHX)

After Dice, Jack co-founded and led Vista Research, a research web platform for investment firms.  Jack and team sold Vista to S&P after 3 years of growth and gaining a multinational client base.  Jack serves as Chairman of Primary Insight, a web-based financial firm led by alumni of Vista.

Committed to community and philanthropic causes, he has received several industry and community awards as well as being recognized as a Global Leader of Tomorrow at the World Economic Forum, Davos.  He serves on several boards including the X Prize Foundation.

Jack’s foundation is dedicated to medical oncology research and has supported work at Sloan Kettering and UCSF.  In this area, the foundation is particularly focused on treatments which move the field beyond chemo and external beam radiation.  The focus is on: immunotherapies, genomics, AI applied to oncology and nanomedicine.

Jack studied at Columbia University and was then awarded a Stanley Fellowship in Clinical Neuroscience at the National Institutes of Health (NIH). Under the fellowship at the NIH, he conducted research on the use of AI tools such as neural networks to model and analyze the data in functional neuroimaging.