• The future of large-scale experiments and their challenges in the digital era, Nature Human Behaviour, 17 September 2026

  with David Holtz, Iavor Bojinov, Ramesh Johari, Nathan Kallus, Apoorva Lal, Sathya Anand, Kyle Carlson, Brent Cohn, Tom Cunningham, Alex Deng, Maria Dimakopoulou, Amit Gandhi, Victor Kostyuk, Madhav Kumar, Shyue-Ming Loh, Widad Machmouchi, Jialiang Mao, James McQueen, John Meakin, Konrad Miziolek, Dominique Perrault-Joncas, Vladimir Petrovic, James Sorenson, Matthew Wardrop, Michael Zhao, Wenjing Zheng, and Martin Tingley

• Want Your Company to Get Better at Experimentation? Learn fast by democratizing testing, Harvard Business Review, 2025

  with Iavor Bojinov, David Holtz, Ramesh Johari, and Martin Tingley

• Sequential confidence intervals for relative lift with regression adjustments, CODE 2022

  with Evan Miller

• The Virtual Warehouse: countering spillover effects and experimenting with inventory constraints, CODE 2020

  with Greg Novak and Dave Spiegel

• Optimal Testing in the Experiment-rich Regime, AISTATS 2019, presented at a ICML 2018 workshop.

  with Virag Shah and Ramesh Johari

• Learning with Abandonment, ICML 2018, presented at a NIPS 2017 workshop, INFORMS 2017, Baylearn 2017.

  with Ramesh Johari [slides]

• Human Interaction with Recommendation Systems: On Bias and Exploration, AISTATS 2018, invited talk INFORMS 2016

  with Carlos Riquelme. [arXiv]

• Mean Field Analysis of Multi-Armed Bandit Games, pre-print

  with Ramki Gummadi, Ramesh Johari, and Jia Yuan Yu.

• Learning Multifractal Structure in Large Networks, KDD 2014

  with Austin Benson and Carlos Riquelme. [arXiv]

• Silent error detection in numerical time-stepping schemes, IJHPC

  with Austin Benson and Rob Schreiber. [arXiv]