Education & Experience
My academic journey and professional experience
My academic journey and professional experience
10/2024 – 08/2026
University of Cologne — Cologne, Germany
Current GPA: 1.0 (1.0 best, 5.0 worst) – Distinction, top 1%
03/2026 – 08/2026 (current)
University of Tokyo — Tokyo, Japan
09/2023 – 01/2025
London School of Economics and Political Science — London, UK
GPA 69% – High Merit (Distinction starting at 70%)
09/2019 – 07/2023
University of Cologne — Cologne, Germany
GPA: 1.3 (1.0 best, 5.0 worst) – Distinction, top 5%
08/2022 – 12/2022
Instituto Tecnológico Autónomo de México (ITAM) — Mexico City, Mexico
GPA 86% – Distinction
Vier Jahre als Wissenschaftlicher Mitarbeiter im Bereich Datenanalyse an der Universität zu Köln (04/2022–03/2026): Python-basierte Datenpipelines, Aufbereitung und statistische Analyse großer Befragungs- und Experimentaldatensätze, Git-Versionskontrolle und Ergebniskommunikation für wissenschaftliches und nicht-wissenschaftliches Publikum. Ergänzende Forschungstätigkeit am MPIfG Köln (08/2025–heute) und an der LSE (12/2023–03/2024).
08/2025 – present
Max-Planck-Institute for the Study of Societies (MPIfG) — Cologne, Germany
04/2022 – 03/2026
Universität zu Köln — Cologne Laboratory for Economic Research — Köln
10/2024 – 07/2025
Department for Statistics, University of Cologne — Cologne, Germany
12/2023 – 03/2024
London School of Economics and Political Science — London, UK
10/2021 – 01/2022
Institute for Social Psychology, University of Cologne — Cologne, Germany
06/2020 – 01/2024
Inspiration Cologne e.V. — Cologne, Germany
Student association at the University of Cologne
R Advanced
Data visualisation (ggplot2), panel data, Monte Carlo simulation, tidyverse
Stata Advanced
Causal inference (DiD, RDD), panel regressions, do-file documentation
Python Intermediate–Advanced
pandas, numpy, scikit-learn, matplotlib, seaborn, statsmodels; behavioral experiments (oTree); data processing pipelines
Machine Learning Intermediate
Classification, regression, clustering, cross-validation, model evaluation; scikit-learn toolchain
Git & GitHub Intermediate
Version control, reproducible research workflows, collaborative repositories
HTML & JavaScript Advanced
Web development, interactive data visualisation
Qualtrics Advanced
Survey design, experimental flows, large-scale data collection
Docker Grundkenntnisse
Containerisierung für reproduzierbare Analyseumgebungen; im Einsatz in einem eigenen Projekt
MATLAB Beginner
Numerical analysis