About me
I am a postdoctoral research fellow and teaching fellow at Harvard Business School and the Laboratory for Innovation Science at Harvard (LISH). I received my Ph.D. in Management from Columbia Business School.
My research focuses on the areas of automation, human/AI collaboration, and business ethics.
Recently, I explored the impact of Generative AI on Knowledge Workers and investigated how organizations can enjoy the benefits of AI while ensuring human collaborators remain actively engaged.
My research has been funded by the Kauffman Foundation, the NBER Innovation Policy grant, and Columbia’s Richman Center, among others.
I am on the steering committee of the Generative AI Working Group at the Digital Data Design Institute at Harvard. My work has been covered in leading popular media, such as The New York Times, The Washington Post, and The Financial Times.
Prior to my PhD at Columbia, I co-founded multiple tech ventures and led their strategic and data science operations. I remain involved in the tech startup space. I received degrees in economics from Bocconi University and London Business School.
Research
Publications
The Managerial Effects of Algorithmic Fairness Activism, American Economic Association Papers and Proceedings, May 2020 (with Bo Cowgill and Sandra Matz)
Super Mario meets AI: Experimental Effects of Automation and Skills on Team Performance and Coordination, Forthcoming at the Review of Economics and Statistics (with Bruce Kogut and Patryk Perkowski)
Working Papers
Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality (with Edward McFowland III, Ethan R. Mollick, Hila Lifshitz-Assaf, Katherine Kellogg, Saran Rajendran, Lisa Krayer, François Candelon, Karim R. Lakhani)
Falling Asleep at the Wheel: Human/AI Collaboration in a Field Experiment on HR recruiters
Biased Programmers? Or Biased Data? A Field Experiment in Operationalizing AI Ethics (with Bo Cowgill, Samuel Deng, Nakul Verma, Daniel Hsu, and Augustin Chaintreau)
Abstract in the Proceedings of the Twenty-First ACM Conference on Economics and Computation, 2020 →
Finalist, Wharton People Analytics Conference, Research Paper Competition.
NBER Innovation Policy small grant ($20,000).
Richard Paul Richman Center Research Grant ($20,000).
When to Talk Politics in Business: Experimental Evidence of Responses to CEO Political Activism (with Tommaso Bondi and Vanessa Burbano)
Revise and Resubmit, Strategic Management Journal.
Framing Algorithmic Fairness: How Fatalistic versus Counterfactual Rhetoric Influences the Adoption of Predictive Algorithms (with Bo Cowgill and Sandra Matz)
Work in Progress
Leveraging Entrepreneurship to Empower Refugees: Evidence from a RCT (with Andrea Contigiani, Arati Maleku, and Sehun Oh)
Kauffman Foundation's Knowledge Challenge Award ($120,000).
Tamer Center for Social Enterprise Research Grant ($5,000).
Teaching
Case studies:
Waiting for Godot: Vaccines and the Pandemic of 2020 (with Bruce Kogut), Columbia CaseWorks
Amazon HQ2 and New York City: Alms for the Poor or Engine of Social Progress? (with Bruce Kogut), Columbia CaseWorks
Instructor/Teaching Fellow:
Fall 2023, Fall 2022, Competing in the Age of AI (HBS Exec Ed)
Spring 2022, Strategy Formulation (Columbia Undergraduate)
Spring 2022, Cross-Cultural Seminar (Columbia MBA)
Fall 2021, Cross-Cultural Seminar (Columbia MBA)
Guest Lecturer:
Spring 2023, Disruptive Innovation: Robots, Data, and AI (Harvard University)
Spring 2022, Fall 2020, 2019 Business Strategies and Solving Social Problems (Columbia MBA)
