We are pleased to introduce our advisory board, which is composed of industry leaders and scientific experts in fields such as financial services, regulatory policy and compliance, machine learning, ethics, anti-financial crime and enterprise software and healthcare AI. By joining our advisory board, each member has chosen to contribute to Duality’s mission of enabling privacy-preserving collaborations on sensitive data.
Please meet our esteemed advisory board members:
Daniel J. Weitzner
Founding Director of the MIT Internet Policy Research Initiative, and 3Com Founders Principal Research Scientist at the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL). He is founder of the Center for Democracy and Technology, led the World Wide Web Consortium’s public policy activities, and was Deputy Policy Director of the Electronic Frontier Foundation. Weitzner served as the United States Deputy Chief Technology Officer for Internet Policy in the White House under the Obama administration.
“I am delighted to be working with Duality at this moment when the world faces the dual imperative of better privacy protection and the simultaneous need to glean strategic insights from sensitive data.”
George Kadifa
Enterprise software senior executive, growth capital investor, and advisor to senior executives at Fortune 500 companies. Kadifa has extensive executive experience at leading software companies, including HP, IBM and Oracle.
“I am excited to be part of the Duality team who is building and deploying transformational technologies to fundamentally change the privacy and security of digital collaboration, at the data and algorithmic levels. The future of our global economy resides on being able to ensure the privacy and security challenges of digital collaboration, and Duality is in a unique position to make this happen.”
Suchi Saria
John C. Malone Associate Professor of Computer Science, Statistics and Public Health at Johns Hopkins University and the Founder and CEO of Bayesian Health. Saria’s work has pioneered the use of statistical machine learning to design novel software-based diagnostic and treatment planning tools across a number of challenging disease areas in healthcare.
“Healthcare is beginning to use machine learning to drive decisions across the spectrum, but in healthcare, protecting patient privacy is crucial. I am delighted to be part of the Duality team. Enabling machine learning without compromising privacy can turbocharge the pace at which healthcare adopts ML.”
Michael Jordan
Pehong Chen Distinguished Professor of Statistics and EECs at the University of California, Berkeley, specializing in machine learning, statistics, and artificial intelligence. In 2016, he was named the most influential author in computer science by Science Magazine, based on rankings from the Semantic Scholar search engine. He is a member of the National Academy of Sciences and the National Academy of Engineering.
“The dual problem of extracting value from data while protecting the value of data is one of the major technological problems of our era, and Duality is at the forefront of solutions to this problem.”
Joe Friscia
Former President and CEO of Nice Actimize, the leading provider of Financial Crime Management solutions, Friscia has over 25 years of experience in fostering the growth and development of leading companies in the fields of regulatory compliance, enterprise software and financial crime prevention.
“The next chapter in the evolution of preventing financial crime always has been the ability to share data safely and securely with other institutions. And now, through a combination of data science and cryptography, Duality has turned secure data collaboration into a reality. As an industry veteran, I am proud to be part of this amazing team who quite literally wrote the book on secure data collaboration.”
