CV
Education
Sciences Po Paris
MRes in Economics (School of Research) · 2024 – 2026 Distinction
Relevant Coursework: PhD-level Microeconomics, Macroeconomics, Econometrics
Massachusetts Institute of Technology (MIT)
Exchange Program, B.A. in Economics and Sociology · 2023 – 2024
Sciences Po Paris
B.A. in Economics and Sociology · 2021 – 2023 Cum Laude
Research Experience
MRes Thesis, Sciences Po · May 2026 Best Master Thesis in Economics Award
Land Restitution, Political Capture and the Fiscal Zombie in Rural Romania
Supervisor: Julia Cagé. Jury Member: Ekaterina Zhuravskaya.
Massachusetts Institute of Technology (MIT), Department of Economics · Sep 2023 – Jan 2024
Research Assistant (Undergraduate Research Opportunities Program)
Conducted empirical and theoretical research on Supply Chain Finance, tracking datasets on trade credit and mutual funds. Supervisor: Robert Townsend.
Professional Experience
European Central Bank (ECB), Frankfurt am Main, Germany
Trainee, Data Center of the Prices and Costs Division · Jul 2026 to present
Executed code-based valuation models, developed real-time data visualization dashboards, and prepared quantitative analytical materials for Governing Council meetings.
Bank of Lithuania, Vilnius, Lithuania
Research Assistant, Monetary Policy Division · Jun 2025 to Aug 2025
Analyzed the impacts of US tariffs on EU goods utilizing trade elasticity and tariff pass-through scenarios. Processed Eurostat and US Census Bureau data.
Ministry of Environment of the Republic of Lithuania, Vilnius, Lithuania
Intern, Climate Policy Group · Jun 2024 to Aug 2024
Produced economic analysis on greenhouse gas emissions and assisted in establishing new econometric climate resilience indicators.
Ministry of National Defence of the Republic of Lithuania, Vilnius, Lithuania
Intern, Defence Policy Group · Jun 2023 to Aug 2023
Contributed to the new White Book of defence policy and prepared briefing notes on international political and economic defence choices.
Technical Skills
Programming and Software: R (primary), Julia, Stata, Git, Github, Microsoft Office Suite.
Geospatial Analysis: QGIS.
Typesetting and Markup: LaTeX, Quarto, Markdown.
Empirical Methods
Identification and Causal Inference: Instrumental Variables and two-stage least squares, standard and triple difference-in-differences with continuous and binary treatment, dynamic event-study designs, Synthetic DiD (SDiD), and panel data models (OLS with multi-way fixed effects), propensity score matching.
Time Series: Vector Autoregression (VAR) models.
Geospatial and Data Engineering: Web scraping, construction and validation of spatial datasets, Digital Elevation Model (DEM) terrain analysis (Riley et al. ruggedness index), and processing of large-scale regional and administrative panel data.
Additional
Languages: Lithuanian (Native), English (C2), French (C1), Italian (B2), Russian (B1), Turkish (A2).
Citizenship: Lithuanian (EU Citizen).
Volunteering: Humanitarian Aid Volunteer at the Lithuanian Red Cross and Kaunas Refugee Center (2022–Present); Volunteer at Les Cœurs du Campanin, Menton (2022–2023).
Selected Instructors: Esther Duflo (Development Economics); Daron Acemoğlu (Labor Economics); Benjamin Olken (Political Economy); Clément de Chaisemartin (Econometrics); Moritz Schularick (Economic History).