⊕ CV
Curriculum vitae
A short version. The PDF has the full details.
MIT Sloan School of Management
PhD, working on the economics of technological innovation, entrepreneurship and strategic management. S.M. in Management Research expected 2027. Coursework in microeconomics, econometrics, industrial organization, antitrust, economic sociology, and labor, organizational and innovation economics. Social and Ethical Responsibilities of Computing (SERC) scholarship from the MIT Schwarzman College of Computing, to study resilient creativity in the age of AI (2026); grant from Analogue Group and The Good Science Project for Unlocking Global Growth Through Indian Innovation & Patent Commercialization (2026); MIT Sloan Doctoral Fellowship (2026–30); Kalim Family Fund Fellowship (2025).
Charles River Associates
Associate and data scientist in antitrust and competition, analyzing the competitive effects of US healthcare mergers, including correspondence with the U.S. Department of Justice. CRA Innovation Award in 2024 and 2025 for internal mapping and spatial-data tools.
Columbia Business School
Dean's Summer Research Fellow with Jorge Guzman. Worked on strategic treatment effects and built the open-source STE R package. The open-source sponsorship paper with Annamaria Conti and Maria Roche started here.
Cornell University
Two bachelor's degrees, in Biometry and Statistics (GPA 3.95) and Applied Economics and Management (GPA 3.92). Magna cum laude, with a research honors thesis awarded distinction. Teaching assistant for CS 1112 (MATLAB) and CS 2110 (object-oriented programming and data structures). Research assistant to Daniela Scur on the Brazil state-capacity projects.
American Economic Association
Data reproducibility researcher for AEA Data Editor Lars Vilhuber, reproducing results in papers submitted to AEA journals. Wrote Upload-to-Zenodo.
Grant Thornton International
Research trainee at the Global Research Centre.
Conferences and talks
East Coast Doctoral Conference, Columbia; Econometric Society Interdisciplinary Frontiers conference on Economics and AI+ML, Cornell; Stella Matutina, Switzerland.
Seminars and presentations
Management Division, Columbia Business School; Dyson School of Applied Economics and Management, Cornell; Department of Global Development, Cornell; Charles River Associates, Boston.
PhD student at MIT Sloan, in the Technological Innovation, Entrepreneurship and Strategic Management (TIES) group. Research affiliate of the Innovation Growth Lab, a research network on innovation and entrepreneurship policy led by Nesta. Approved researcher with UK Biobank.
I work mostly in Python, R and Stata, and also use Java, MATLAB and SQL. Methods I use a lot include causal inference, language models for turning text into data, and mapping and spatial analysis (ArcGIS, Folium, kepler.gl).