Rhode Island Israel Collaborative (RIIC) interviews Dr. Kira Radinsky, Co-Founder & CEO & CTO of Diagnostic Robotics, on predictive data mining. With a passion for science and a remarkable background in AI research, Kira has harnessed the power of artificial intelligence to transform healthcare for the better, i.e., better, cheaper, and more widely available.
In the past, she co-founded SalesPredict, acquired by eBay in 2016, and served as eBay’s director of data science and IL chief scientist. One of the up-and-coming voices in the data science community, she is pioneering the field of medical data mining. Dr. Radinsky gained international recognition for her work at Microsoft Research, where she developed predictive algorithms that recognized the early warning signs of globally impactful events, including political riots and disease epidemics. In 2013, she was named to the MIT Technology Review’s 35 Young Innovators Under 35, in 2015 as Forbes 30 Under 30 rising stars in enterprise technology, and in 2016 selected as “Woman of the Year” by Globes. She is a frequent presenter at global tech events, including TEDx, Wired, Strata Data Science, Techcrunch, and academic conferences, and she publishes in the Harvard Business Review. Radinsky serves as a board member of the Israel Securities Authority, Maccabi Research Institute, and the technical board of HSBC Bank. Dr. Radinsky also serves as visiting professor at the Technion, Israel’s leading science and technology institute, where she focuses on the application of predictive data mining in medicine. More about Dr. Radinsky in ValiantCEO.
Dr. Radinsky’s fascination with AI and data analysis led her to develop algorithms that could predict future events based on historical patterns. Her success in predicting a cholera outbreak in Cuba sparked her commitment to making a difference in healthcare. In this interview, Kira talks about access to primary care, automated systems that ask clinical questions and based on historical data can predict probabilities of diseases or conditions. With the interviewer, Dr. Megan Ranney, from Brown University they also talk about social media data, accuracy & precision of data, women in science tech, and privacy issues. Other participants join as well in a Q&A session.