William Cai

I am a PhD student in the Department of Management Science and Engineering at Stanford, working in the Stanford Computational Policy Lab. I research real-world decision making systems, with a focus on (1) designing algorithmic policies which are robust to and can efficiently ameliorate inequities, and (2) developing statistical methodology for assessing equity in complex systems. My work is supported by a Stanford Graduate Fellowship. I spent the summer of 2020 as a research intern on Facebook's Responsible AI team and worked as a RA at Microsoft Research New York in the computational social science group from 2017-2018 before starting my PhD.

Research (Google Scholar)

Deconstructing Claims of Post-Treatment Bias in Observational Studies of Discrimination

Johann Gaebler, William Cai, Guillaume Basse, Ravi Shroff, Sharad Goel, Jennifer Hill. Working paper.

Mathbot: A Personalized Conversational Agent for Learning Math

William Cai , Joshua Grossman, Zhiyuan Lin, Hao Sheng, Johnny Tian-Zheng Wei, Joseph Jay Williams, Sharad Goel. Working Paper.

Fair Allocation through Selective Information Acquisition

William Cai , Johann Gaebler, Nikhil Garg, Sharad Goel. AIES 2020.

Objecting to experiments that compare two unobjectionable policies or treatments

Michelle N. Meyer, Patrick R. Heck, Geoffrey S. Holtzman, Stephen M. Anderson, William Cai , Duncan J. Watts, Christopher F. Chabris. PNAS 2019.