About Me

PhD Candidate in Statistics at the London School of Economics and Political Science (LSE). My research focus is in the theory of stochastic processes, stochastic analysis, and related applications in quantitative finance. I am well-experienced in Python scientific programming and AI code assistant tools (Claude Opus 4) as well - you can see some of my projects on my GitHub page.

LSE Personal webpage: here.

Research

Journal Articles

"Note on the Weak Convergence of Hyperplane α-Quantile Functionals and Their Continuity in the Skorokhod J1 Topology".

Journal of Theoretical Probability, Vol. 38, 2025. Read here.

Conference Posters and other publications

"How stretched are equity prices? Evidence from option-implied estimates of ERP".

Bank Overground 2025. Read here.

"The mathematics of α-quantile options: an introduction".

World Bachelier Congress 2024. View poster.

Work Experience

PhD Researcher Intern

Bank of England (Aug. 2023 - Feb. 2025)

  • MFCD division, Interest Rates and Asset Pricing team. Research work in options and futures markets. Built a custom volatility surface engine for online daily raw option price data + static replication code for market-implied signals.
  • Published on the Bank Overground.

PhD GTA - Graduate Teaching Assistant

LSE (Sep. 2023 - Current)

MSc Teaching Assistant

Bocconi University (Sep. 2020 - June 2021)

Education

PhD, Statistics

LSE (Current)

MSc, Quantitative Methods for Risk Management

LSE (Oct. 2022)

  • Program Details.
  • Graduated with Distinction. PhD-level courses: Probability and Mathematical Statistics I & II (ST452/ST453).
  • Received full scholarship for the PhD in Statistics.

MSc, Finance, Major in Quantitative Finance

Bocconi University (Apr. 2020)