Yang Liu is currently an Assistant Professor of Computer Science and Engineering at UC Santa Cruz. He was previously a postdoctoral fellow at Harvard University. He obtained his PhD degree from the Department of EECS, University of Michigan, Ann Arbor in 2015. He is interested in how we can build models using incomplete and imperfect data, how we can obtain higher quality data from crowdsourcing, and how we can leverage the above solutions to build models that are fair in real-world applications. His works have seen applications in high-profile projects, such as the Hybrid Forecasting Competition organized by IARPA, and Systematizing Confidence in Open Research and Evidence (SCORE) organized by DARPA. His works have also been covered by WIRED and WSJ.