- Led the development of a scalable product-matching algorithm, integrating techniques from NLP, Statistics, Optimization, and Generative AI to enhance product relevance and user experience.- Developed the monthly NielsenIQ Inflation Report based on novel price indices and spending KPIs from the largest representative dataset of consumer spending.- Developed a machine learning model to predict consumer health conditions consumer purchase decisions by incorporating LLMs to link products and health conditions.

- Estimated the causal effects of revenue management practices on pricing and allocations by landlords in the short-term rental market, focusing on Airbnb.- Developed an innovative algorithm for identifying neighborhoods in urban areas by integrating machine vision techniques with satellite imagery and machine learning analysis of administrative building data.- Conducted a detailed investigation of cross-country investments in real estate startups using restricted data on behalf of the Government of Monaco.

- Developed Dynamic Pricing solutions rooted in Statistics and Optimization for clients in the Advertisement and Performing Arts industries. - Evaluated the causal effects of pricing and promotion strategies using quasi-experimental Econometrics.

Assisted in the development of methodologies for Partial Identification of Causal Effects.

Teaching Assistant for Financial Economics (G), Environmental Economics (G), Topics in Macro and Monetary Economics (G), Introduction to Macroeconomics (U)