Hi! I'm a PhD candidate in Electrical Engineering at Stanford University, where I am advised by Ashish Goel and Ramesh Johari and am part of the Stanford Crowdsourced Democracy Team and the Society and Algorithms Lab. I am a NSF Graduate Research Fellow and McCoy Family Center for Ethics in Society Graduate Fellow.
I received my M.S. in Electrical Engineering from Stanford in 2017. Before that, I graduated with a B.S. in Computer Engineering and a B.A. in Plan II (Liberal Arts) in 2015 from The University of Texas at Austin, where I focused on embedded systems and wireless communications. I have spent time at Uber, NASA, Microsoft, the Texas Senate, and IEEE's policy arm.
I think about how to design people-centric platforms that enable fair and efficient agreements within large, diverse groups. To this end, I leverage tools from probability, algorithms, machine learning, mechanism design, and economics. So far, I have worked on designing online marketplaces and civic engagement platforms. In both domains, I am most concerned with bridging the gap between coarse theoretical insights and the fine-grained questions practitioners must answer, driven both by theory and data. I also run experiments and contribute to deployed systems, including for participatory budgeting and at Uber and Upwork. I like to have first-hand practical experience in a domain before tackling research questions.Select papers (full list here):
- Driver Surge Pricing, Major Revision, Management Science
- Designing Informative Rating Systems: Evidence from an Online Labor Market, Major Revision, Manufacturing & Service Operations Management
- Iterative Local Voting for Collective Decision-making in Continuous Spaces, Journal of Artificial Intelligence Research
- Word Embeddings Quantify 100 Years of Gender and Ethnic Stereotypes, Proceedings of the National Academy of Science
|Nov 2019||New paper online, "Fair Allocation through Selective Information Acquisition."|
|Sept 2019||Upcoming talks at the Simons Institute, Cornell ORIE's Young Researcher's workshop, INFORMS, and AAAI HCOMP.|
|June 2019||New paper online, "Who is in Your Top Three? Optimizing Learning in Elections with Many Candidates." August update: Accepted to the AAAI Conference on Human Computation and Crowdsourcing.|
|June 2019||I'll be a teaching assistant for AddisCoder for part of the summer!|
|May 2019||The New York Times discussed our paper "Designing Informative Rating Systems for Online Platforms," with a quote from me.|
|May 2019||New paper online, "Driver Surge Pricing." I will present it at the Revenue Management and Pricing Conference at Stanford and the EC Market Design Workshop in June.|
|April 2019||I presented our paper "Designing Optimal Binary Rating Systems" at AISTATS'19 in Naha, Japan.|
|Feb 2019||Our paper "Analyzing Polarization in Social Media: Method and Application to Tweets on 21 Mass Shootings" was accepted to NAACL'19.|
|Jan 2019||Stanford Engineering News wrote an article about our paper "Designing Informative Rating Systems for Online Platforms."|