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I am interested in harnessing data analytics to improve the performance of complex systems.  My work applies mathematical modeling, causal analysis, and algorithms to workforces and marketplaces in particular.


In the area of workforce management, my recent interests center on innovations in data collection and integration.  Examples include the deployment of biometric wearable sensors to track and predict burnout, stress, and fatigue for highly skilled workers performing critical services, such as nurses providing intensive care and pilots operating fighter jets.  In the past, I have studied the effects of turnover and other issues affecting the world's largest manufacturing workforces using data gathered and integrated from throughout the supply chain.

In the area of networks, my interests lie in the design of market and policy interventions.  Examples include the design of pandemic lockdown policies in the presence of economic and COVID-19 transmission spillovers between counties and states; and the spillover effects of certifications in ethical supply chain sourcing.  I am especially interested in labor marketplaces and platforms and in the regulations that govern them.

I have worked with or advised partners including Apple, Penn Medicine, and Upwork.



PhD 2017

Stanford Graduate School of Business

I completed my doctoral studies at the Stanford GSB.

JD 2008

Harvard Law School

I earned a law degree and then practiced law in Washington, DC and New York City.

BAS 2005

Stanford University

I dual-majored in mathematics and in economics and graduated with honors and distinction.

Awards and Grants

  • 1st place, 2020 POMS Operational Excellence College Best Paper

  • People's Choice Award, 2020 Early-career Sustainable OM Workshop 

As an advisor or supervising coauthor:

  • 1st place, 2021 MSOM Best Student Paper

  • 1st place, 2020 POMS Product Innovation and Technology Best Student Paper

  • Finalist, 2019 MSOM Best Student Paper

  • Finalist, 2019 RMP Best Student Paper

  • Finalist, 2019 IBM Service Science Best Student Paper

  • Finalist, 2018 POMS Supply Chain Management Best Student Paper

  • 1st place, 2017 IBM Service Science Best Student Paper 

  • Wharton Dean's Research Funds $60,542

  • Analytics at Wharton $34,750

  • Additional non-department grants $23,800

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