PhD Student in Economics
Department of Economics and Public Policy
Imperial College London
m.de-maria@imperial.ac.uk
Welcome! I am a second-year PhD student in Economics at Imperial College London. My main field of research is empirical industrial organization, and I study how market power shapes innovation incentives and the direction of technological change.
I received my MSc (with Distinction) in Economics from UCL and my BSc summa cum laude from the Sapienza University of Rome.
Between 2022 and 2023, I was a pre-doctoral research fellow at Yale University’s Department of Economics. Also at Yale, I was a graduate visiting student at the Department of Mathematics.
I am originally from Rome, Italy.
• Market Power, Entry Threats, and the Direction of Technological Change
• Interlocking Directorates, Innovation, and the Flow of Ideas
(Draft Available Upon Request)
Presented at: Imperial College London, 2025 EARIE Summer School (Valencia, Spain), CMA-Durham Workshop on Productivity, Business Dynamism and Market Power (Durham, UK), 2025 European Winter Meeting of the Econometric Society (Nicosia, Cyprus), 2025 CEPR Paris Symposium (Paris, France)‡
• One-Size-Fits-Some: Insights from a Randomized COVID-19 Intervention
DRAFT COMING SOON!
with Gabriella Conti and Pamela Giustinelli
Presented at: 2024 Workshop on the Economics of Pandemic Preparedness (Stockholm, Sweden)
‡ = poster
Imperial College London (Teaching Assistant)
Math Camp (PhD), 2025
Business Economics (Executive MBA), 2024
Business Economics (BSc), 2023
UCL (Teaching Assistant)
Introductory Economics (BSc), 2021, 2022
The Discrete Game Identification Toolkit is a Python toolbox for analysing identification in static discrete games of incomplete information. It includes a replication and extension of Aguirregabiria & Mira (2019).