Current Interests: Applications of data science to Web 3.0 - decentralized apps (dApps), nonfungible tokens (NFT), and decentralized finance (DeFi): see VirtualMarkets.org, 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)