Current Interests: Applications of data science to Web 3.0 - decentralized apps (dApps), nonfungible tokens (NFT), and decentralized finance (DeFi), as well as data portability, crowdsourcing, and platform design in Web 2.0 markets. Feel free to reach out for collaborations.
Bio: I'm an Assistant Professor of Marketing at INSEAD where I teach AI Strategy (MBA) and machine learning for management research (PhD). I led ML projects at QuantCo, helping the company grow from pre-incorporation to 80+ employees, and worked in Tokyo, Japan and the US. I grew up around Washington, DC and Geneva.
Research
Infinite but Rare: Valuation and Pricing in Marketplaces for Blockchain-Based Virtual Items
Scaling Human Effort in Idea Screening and Content Evaluation (with Artem Timoshenko and Cathy Yang)
Markets for Ideas: Prize Structure, Entry Limits, and the Design of Ideation Contests, RAND Journal of Economics (2020) [web appendix] [publisher version]
Teaching
Artificial Intelligence Strategy (MBA 2018-)
Machine Learning, Causality, and Management (PhD 2019-)
Machine Learning in Marketing Science (MiM 2020)
Demystifying AI in the Food Industry (ExecEd 2020)
AI Strategy for the CMO (ExecEd 2019)
Cases
ObEN PAI: Building a World of Personal AI Avatars (with Peter Zemsky and Lisa Duke), INSEAD Case (2020)
Preferred Networks: A Deep Learning Startup Powers the Internet of Things (with Theodoros Evgeniou and Nancy Brandwein), INSEAD Case (2019)
Zalora: Data-Driven Pricing (with Sunil Gupta and Srinivas Reddy), Harvard Business School Case (2018)