Hi! I'm a PhD candidate in Electrical Engineering at Stanford University, where I work with Ashish Goel and Ramesh Johari and am part of the Stanford Crowdsourced Democracy Team. I am supported by a NSF Graduate Research Fellowship. I can be contacted at nkgarg AT stanford DOT edu.

My research interests are somewhat eclectic. I primarily think about designing algorithms and deploying systems for crowdsourced democracy and online platforms, and in both domains am most concerned with implementable opinion aggregation systems informed by theory. I have also studied using word embeddings for historical sociology and am interested in several aspects of technology policy (some of my policy work is described here).

I received my M.S. in Electrical Engineering from Stanford in 2017. Before that, I graduated with a B.S. in Electrical & Computer Engineering and a B.A. in Plan II (Liberal Arts) in 2015 from The University of Texas at Austin, where I focused on signal processing and wireless communications. I have spent time at Uber, NASA, and Microsoft. CV.
Talks and travel:
09/18Data Ethics panel @ eWEAR Stanford
07/18"Designing Informative Rating Systems: Evidence from two experiments" @ Uber
06/18"Designing Informative Rating Systems: Evidence from two experiments" @ Market Design Workshop at EC'18 in Cornell
04/18"Reputation, Trust, and Markets" @ Stanford MS&E 190
04/18"Designing Rating Systems for Online Platforms" @ Stanford SOAL seminar
10/17 "Designing Rating Systems for Online Platforms" @ INFORMS in Houston, Texas
06/17"Designing Reputation Systems for Online Platforms: Pairwise Comparisons" @ the Marketplace Innovation Workshop in Stanford
04/17"Reputation, Trust, and Markets" @ Stanford MS&E 190
04/17"Pairwise Comparisons for Online Reputation Systems" (Poster) @ Stanford Computer Forum
04/17"Collaborative Optimization for Collective Decision-making in Continuous Spaces" @ WWW 2017 in Perth, Australia
12/15"Impact of Dual Slope Path Loss on User Association in HetNets" @ Globecom Workshop on HetNets, in San Diego, CA
06/18Started data science internship at Uber on marketplaces team.
03/18"Word Embeddings Quantify 100 Years of Gender and Ethnic Stereotypes" accepted to PNAS!
07/17Selected as Stanford Center for Ethics in Society graduate student fellow for 2017-2018.
06/17Received M.S. in Electical Engineering from Stanford.
09/15Started grad school.
06/15Started summer internship program at IEEE WISE. Read about it here.
05/15Graduated from the University of Texas at Austin with a B.S. in ECE and a B.A. in Plan II.
05/15Launched ProjectAlexandria.net, a book recommendation and exploration engine.
04/15Received NSF Graduate Research Fellowship.

I try to maintain a blog, mostly about books I've read recently. Some of my recent-ish posts:

10/13/18A compilation of comics explaining statistics, data science, and machine learning
09/18/18Hierarchical Bayes and Stan tutorial
09/17/18Review of “Antifragile: Things That Gain From Disorder” by Nassim Nicholas Taleb
09/02/18Review of “Success and Luck: Good Fortune and the Myth of Meritocracy” by Robert Frank
09/01/18Common sense and a review of “Can it Happen Here?: Authoritarianism in America” by Cass Sunstein and others
09/01/18Review of "China’s Great Wall of Debt: Shadow Banks, Ghost Cities, Massive Loans and the End of the Chinese Miracle” by Dinny McMahon
09/01/18Review of “Bad Blood: Secrets and Lies in a Silicon Valley Startup” by John Carreyrou
09/01/18Review of “Astroball: The New Way to Win It All” by Ben Reiter
07/08/18Review of "Platform Revolution: How Networked Markets Are Transforming the Economy," by Geoffrey G. Parker, Marshall W. Van Alstyne, and Sangeet Paul Choudary