We’re solving the biggest problems with data by keeping it safe and private without sacrificing utility and access. Secure AI Labs (SAIL) has built a new secure analytics platform that allows companies to share sensitive, valuable and regulated data without exposing secrets or sacrificing ownership.
Ryan is a dedicated operator and manager devoting his career to building new research infrastructure to make next-generation medical discoveries. The son of a research neuro-scientist and uncle of a niece with a genetic disease, Ryan has experienced unanswered biological questions from both the researcher and patient perspectives. Ryan builds relations with lawyers, investors and customers and was a graduate fellow at MIT.
Anne is the face of our technology and spirit of our company. After her MIT undergrad in CS & Bio she studied with Sandy Pentland in the Media Lab. Anne began hacking biology in high school by studying computational protein folding and then continued at MIT studying how to mediate the sharing and analysis of clinical trial data on a massive scale. Anne also organizes industry meetings on privacy and security for the EFF, ACLU, and Defcon.
Dianbo Liu is a research fellow in Computational Health Informatics Program (CHIP) at Harvard Medical School and Boston Childrens’s Hospital. His current research focus is on understanding human health data using machine learning, network analysis and other tools. Dianbo’s scientific expertise includes medical records, social network data, human face images, blockchain, and most importantly, philosophy.
Manolis is a dedicated Father, teacher, and researcher devoting his life to improving human health through knowledge. He aims to further our understanding of the human genome by computational integration of large-scale functional and comparative genomics datasets. As Research Director at SAIL, he is taking advantage of emerging technologies and data types and inventing new computational models. Manolis earned a BS & PhD in EECS with a focus on Computational Biology.
Sandy directs the MIT Connection Science and Human Dynamics labs and is declared by Forbes to be one of the “7 most powerful data scientists in the world”. Sandy co-led the World Economic Forum discussion in Davos that led to the EU privacy regulation GDPR and has received numerous awards and prizes for his work in data privacy and security. Sandy and his students have pioneered many industries including computational social science, organizational engineering, wearable computing (Google Glass), image understanding, and modern biometrics.
Hardjono is the technical director for the Internet Trust Consortium under MIT Connection Science. Mr. Hardjono leads technical projects and initiatives around identity, security and privacy in emerging technologies such as IoT, smart contracts and blockchain systems, and engages industry partners and sponsors on these fronts.
VP of Engineering
Machine Learning Scientist
Product Design Manager
Born from OPAL research in the Human Dynamics Group at the Media Lab, SAIL receives strong support from the Media Lab community.
Built upon principles developed in the Trust::Data Consortium, SAIL is building safe distributed networks to enable the use of Trusted Data.
STEX25 is a startup accelerator fostering collaboration between MIT-connected startups and MIT ILP member companies.
With support from MIT’s premier accelerator program, delta v, the SAIL team built, patented and commercialized our technology.
CSAIL Alliances connects startups to companies and organizations looking to adopt new research and emerging technology from MIT.