Curriculum Vitae

You can download the full PDF version of my CV here.

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Education

M.Sc. in Financial Engineering, EPFL (2024–present)

• Main coursework: Finance, Stochastic Calculus, Big Data and Machine Learning for Finance (PhD level), Applied Data Analysis, Deep Learning, Derivatives, Investments

B.Sc. in Mathematics, EPFL (2021–2024)
Thesis: Rates of convergence for projection estimators and a focus on B-splines (Supervisor: Victor Panaretos)

• Main coursework: Martingales and Brownian Motions, Time Series, Linear Models, Stochastic Processes & Markov Chain, Statistics, Probability, Functional Analysis, Continuous Optimisation, Discrete Optimisation, Advanced Numerical Analysis

Research Experience

Research Assistant, EPFL — Summer 2025

• Worked on transformer-based models for time-series forecasting in financial data.
• Integrated deep learning models into a pipeline with rolling-window cross-validation.
• Supervised by Prof. Semyon Malamud and PhD candidate Johannes Schwab.

Teaching Experience

Fall 2023

• Analyse I – Centre Propédeutique
• Analyse I – Prof. Sacha Friedli

Spring 2024

• Analyse A – Prof. Sacha Friedli
• Analyse B – Prof. Sacha Friedli

Fall 2024

• Analyse I – Prof. Sacha Friedli
• Analyse Avancée I – Prof. François S. Genoud

Spring 2025

• Analyse A – Prof. Sacha Friedli
• Analyse B – Prof. Ana Khukhro