Daniel Kang

• Program

  AI Safety Science

• Institution

  University of Illinois Urbana-Champaign

• Location

  USA

Dr. Daniel Kang is an assistant professor at the University of Illinois Urbana-Champaign (UIUC) in the Department of Computer Science, with a courtesy appointment in Electrical and Computer Engineering (ECE). Previously, he was a postdoctoral researcher at UC Berkeley in the Sky Lab, working with Ion Stoica, and earned his PhD from Stanford University, advised by Peter Bailis and Matei Zaharia. His research focuses on simplifying analytics using machine learning to make it accessible for scientists and analysts. His dissertation placed particular emphasis on video analytics and data systems for deploying machine learning. Daniel has also contributed to the development of benchmarking platforms DawnBench and MLPerf. His research has received support from organizations such as Google, the Open Philanthropy Project, Emergent Ventures, among others.

Dr. Kang’s project intends to develop two benchmark suites designed to assess the ability of AI agents to penetrate web deployments.