Curriculum Vitae

Selected education, experience, awards, research, courses, and skills.

Education

Doctoral Programme in Economics
Corvinus University of Budapest — Budapest
Sep 2025 – Jun 2029
MSc in Actuarial and Financial Mathematics
Corvinus University of Budapest, Eötvös Loránd University — Budapest
Sep 2023 – Jun 2025
  • GPA: 4.59
  • Specialisation in Quantitative Finance
BSc in Mathematics
Eötvös Loránd University — Budapest
Sep 2020 – Jun 2023
  • “Outstanding” degree
  • Overall GPA: 4.52, scholarship in every semester
  • Member of Eötvös Collegium for advanced studies, Economics Workshop

Work Experience

Pricing Intern
Citibank — Budapest
Jun 2024 – Dec 2024
  • Market Quantitative Analysis, Credit Team
Data Analyst
Hungarian Central Statistical Office — Budapest
Jul 2025 – Present

Competitions and Awards

Outstanding Student of the Mathematics Institute
ELTE
2024
GEM Mathematics Team Competition, 3rd Place
Corvinus University of Budapest
2023

Research

Heterogeneous AI News and Hub Formation: Event-Day Causal Network Evidence on the Magnificent Seven
Working paper with Milán Csaba Badics
2026
  • High-frequency event-day network analysis of AI-news transmission using DAG-based Directed R² connectedness.
  • Focus on Magnificent Seven hub formation and event-specific spillover channels among AI-exposed firms.
Common European Financial Factors and Output-Gap Estimation
Working paper
2026
  • Borio-style state-space output-gap models for 26 European economies.
  • Evaluation of common European financial and macroeconomic factors, including equity-market returns, financial stress and oil prices.
Constructing an SME Composite Index for the Hungarian Economy
Working paper at HCSO
Ongoing
  • Composite-index construction from Hungarian SME indicators using inverse-volatility, PCA and factor-analysis weighting schemes.
  • Comparison of alternative aggregation methods for measuring SME-sector dynamics.

Extra Courses

Introductory course to DSGE Models in Matlab Dynare
Udemy
2025
Time Series Analysis in Python
DataCamp
2024
Introduction to Portfolio Risk Management in Python
DataCamp
2023
Inference for Linear Regression in R
DataCamp
2024

Skills

Languages
English (C1), German (B1)
Programming
Python (Advanced), R (Intermediate), C++, MATLAB, SQL (Beginner)