Using RISE-developed frameworks to target veteran suicide epidemics

Berkeley RISE Lab visiting researcher Edmon Begoli is interviewed in a Data Exchange Podcast titled “Hyperscaling natural language processing,” in which he discusses distributed online learning and its applications in public health.  In particular, Begoli is collaborating with CS Prof. Ion Stoica and his team on how to use RISE-developed frameworks, including the Ray framework, for real-time, robust and resilient analytic decision making.  One application is to potentially identify veterans at risk for suicide by tracking their medical prescriptions.  Begoli, Stoica, and CS Prof. Michael Jordan will all be participating in the first Ray Summit in May.