Daniel Kang is an assistant professor at UIUC, where he started after his PhD at Stanford University. At UIUC, he focuses on real-world ML deployments, including auditing ML with zero-knowledge proofs. His work has been deployed at autonomous vehicle companies and to help ecologists to analyze microcosms. Daniel’s research is supported by the Open Philanthropy project, Google, and the NSF.