About Me
I'm a Professor of Management Science and Operations at London Business School and co-director of the Data Science and AI Initiative. My research examines data science and AI and how they are reshaping business, including healthcare delivery. My training in physics, finance, and management science at the University of Cambridge informs how I approach these questions.
My work has appeared in Management Science, MSOM, POM, and other journals. I am a Department Editor at Management Science and have served as Associate Editor at Management Science, MSOM, and POM.
I teach statistics, data science, machine learning, generative AI, and healthcare management. For executives, I co-teach a custom in-person Generative AI Masterclass with Keyvan Vakili, and have created two online courses: Business Analytics in the Age of Generative AI and Generative AI for Leaders. The focus throughout is on where these technologies create value, where they don't, and how to tell the difference.
Working Papers and Journal Publications
- AI and Human Judgment in Conference Peer Review: Evidence from the 2025 MSOM Conference. with W. Zhang. Working paper (SSRN, 2026)
- Is Continuity All We Need? A Modeling Approach to Evaluating Relational Continuity in Primary Care. with N. Ghosh and Y. Zhong. Working paper (SSRN, 2026)
- Process Architecture in AI-Augmented Service Operations: From Horizontal Adoption to Vertical Redesign. Working paper (SSRN, 2026)
- Context Engineering: A Principal-Agent Theory of AI-Augmented Knowledge Work. Working paper (SSRN, 2026)
- Scheduling-induced Health Inequality: The Role of Deprivation in Managing Elective Waiting Lists. with T. Pope and S. Scholtes
- The Power of Data: Assessing Primary Care Performance Using Routinely Collected Emergency Department Data. with S. Sulz, M. Kinirons, R. Leach. Forthcoming (2026) (Manuscript.pdf, Appendix.pdf)
- Hospital Reimbursement in the Presence of Cherry Picking and Upcoding. with L Debo and R Shumsky, Management Science (2023) 69(11), 6777--6799, (Manuscript.pdf)
- Economies of Scale and Scope in Hospitals with Michael Freeman and Stefan Scholtes, Management Science, (2021) 67(2), 673-697, (Manuscript.pdf)
- Proactive Customer Service: Operational Benefits and Economic Frictions with Kraig Delana and Tolga Tezcan, Manufacturing & Service Operations Management, (2021) 23(1), 70-87, (Manuscript.pdf)
- A Review of the Healthcare-Management (Modeling) Literature Published in M&SOM with Pinar Keskinocak, Manufacturing & Service Operations Management, (2020) 22(1), 59-72, (Manuscript.pdf)
- Can Yardstick Competition Reduce Waiting Times? with Tolga Tezcan and Ozlem Yildiz, Management Science, (2019) 65(7), 3196-3215. (Manuscript.pdf, Electronic Companion.pdf)
- Crowdsourcing Exploration with Yiangos Papanastasiou and Kostas Bimpikis, Management Science, (2018) 64(4), 1727-1746. (Manuscript.pdf)
- Gatekeepers at Work: An Empirical Analysis of a Maternity Unit with Michael Freeman and Stefan Scholtes, Management Science, (2017) 63 (10), 3147-3167. (Manuscript.pdf)
- Dynamic Pricing in the Presence of Social Learning and Strategic Consumers with Yiangos Papanastasiou, Management Science, (2017) 63(4), 919-939. (Manuscript.pdf)
- Is IT Enough? Evidence from a Natural Experiment in India's Agriculture Markets with Chris Parker and Kamalini Ramdas, Management Science, (2016) 62 (9), 2481-2503 (Manuscript.pdf)
- Signaling New Product Reliability with After-Sales Service Contracts with Nitin Bakshi and Sang-Hyun Kim, Management Science, (2015) 61(8), 1812-1829. (Manuscript.pdf)
- The Role of Equity, Royalty and Fixed Fees in Technology Licensing to University Spin-Offs with Niyazi Taneri, Management Science, (2015) 61(6), 1323-1343. (Manuscript.pdf)
- Opt-Out Options in New Product Co-Development Partnerships with Stefan Scholtes, Production and Operations Management, (2014) 23(8), 1370-1386 (Manuscript.pdf)
- "Nursevendor Problem": Personnel Staffing in the Presence of Endogenous Absenteeism with Linda Green and Sergei Savin, Management Science, (2013) 59(10), 2237-2256. (Manuscript.pdf)
- Physician Workload and Hospital Reimbursement with Adam Powel and Sergei Savin, Manufacturing & Service Operations Management, (2012) 14(4), 512-528. (Manuscript.pdf)
- Investment under uncertainty with price ceilings in oligopolies with Fabien Roques, Journal of Economic Dynamics & Control, 33 (2009) 507-524.
- Unintended Consequences of Hospital Regulation: The Case of the Hospital Readmissions Reduction Program with Chris Chen, 2018. (Manuscript.pdf)
- Scarcity Strategies Under Quasi-Bayesian Social Learning with Yiangos Papanastasiou and Nitin Bakshi. 2015 (Manuscript.pdf)
Opinion Pieces & Commentary
Recent (2025-2026)
- Beyond Robot Taxes: Building a Sustainable Fiscal Model for the AI Economy (Forbes, January 2026)
- What you need to do differently as a leader in 2026 (Think @ London Business School, 2026)
- 2026 trends for business (Think @ London Business School, 2026)
- The AI revolution transforming the healthcare space (Think @ London Business School, 2025)
- Will AI lead to a fairer world? (Think @ London Business School, 2025)
- Minding the gap: the LBS Data Science and AI initiative (Think @ London Business School, 2025)
Selected Earlier Work
- We need to talk about ChatGPT (Think @ London Business School, 2023)
- To Reduce Emergency Room Wait Times, Tie Them to Payments (Harvard Business Review, 2019)
- The Economics of Licensing Contracts (Nature Biotechnology, 2008)
Podcasts & Media Appearances
Event Write-ups
- Are we ready for a world shaped by AI? (Think @ London Business School, April 2026)
Video
- Panel: Who Really Wins in the AI Revolution? (2025)
- Turning Emergency Department Data into Insight (2025)
- Business Analytics (OpenAI Academy, 2025)
- Will AI lead to a fairer world? (LBS Think Video, 2025)
- Panel: Issues and Uncertainties in the Global Economy (2024)
Podcasts
- Try to Enjoy the Process of Raising your Kids (Growing Up with AI Podcast, 2025)
- How Data Science Can Boost Business (Think @ LBS Podcast, 2018)