Academic CV

For an exhaustive & more general overview of what I’ve done, please visit my LinkedIn profile.

Education

• Doctoral Program in Political Science (2026 – 2030)

  University of Mannheim, Germany
  Focus Short-term change of political opinions and electoral preferences
  Supervisor Prof. Thomas Gschwend, Ph.D.

• M.Sc. Data Science for Public Policy (2023 – 2025)

  Hertie School, Berlin, Germany
  Focus Bayesian modelling, computational statistics, causal inference

  Thesis “Modelling Week-to-Week Voting Intention Change in Germany: A Bayesian Imputation Approach Using High-Frequency Panel Data”
  Supervisors Dr. Will Lowe, Prof. Dr. Michael Mäs

• M.P.P. Master of Public Policy (2020 – 2023)

  Hertie School, Berlin, Germany
  Focus Policy analysis, climate & energy policy, social movements

  Thesis “A Sudden Surge in Climate Awareness: Evidence from German Political Polls in 2019”
  Supervisor Prof. Mark Kayser, PhD

• B.Sc. Economics (2016 – 2020)

  Heidelberg University, Germany
  Focus Decision & game theory, neural & behavioural economics

  Thesis “Air Temperature and Mortality: An Analysis of Potential Social Impacts of Global Warming using Machine Learning”
  Supervisor Prof. Dr. Christian Conrad

• Courses in B.Sc. Management & Technology (2014 – 2015)

  Technische Universität München (TUM), Germany
  Focus Numerical optimisation, statistical programming

Further courses & certifications
• Certificate in Advanced English (CAE, C1 level) – Cambridge Assessment English (2020)
• Exchange semester at SGH Warsaw School of Economics, Poland (2019)
• Exchange semester at SNSPA School of Public Administration, Bucharest, Romania (2023)
• Extra-curricular junior courses in software development, Technische Universität Dresden (2009 – 2014)

Experience

• Doctoral Researcher (since 2026)

  University of Mannheim, Germany – Mannheim Centre for European Social Research (MZES)
  Project Understanding Short-Term Voter Realignment in Multi-Party Democracies

  Responsibilities Initiation of a research project on short-term change of political opinions and electoral preferences
  Supervisor Prof. Thomas Gschwend, Ph.D., Dr. Denis Cohen

• Doctoral Researcher (since 2026)

  University of Mannheim, Germany – Chair of Quantitative Methods in the Social Sciences
  Project Dissertation Project

  Responsibilities Teaching assistance for the course “Quantitative Methods” (see below)
  Supervisor Prof. Thomas Gschwend, Ph.D.

• Research Assistant (2026)

  University of Mannheim, Germany – Mannheim Centre for European Social Research (MZES)
  Project Zweitstimme.org (DFG funded)

  Responsibilities Development of a research proposal on short-term change of political opinions and electoral preferences
  Supervisor Prof. Thomas Gschwend, Ph.D.

• Research Assistant (2024 – 2026)

  Forschungszentrum Informatik (FZI), Karlsruhe/Berlin, Germany – House of Participation (HoP)
  Project High-frequency online panel study “Social Sentiments in Times of Crises (SOSEC)” (bi-weekly, USA/Germany, n=3500)

  Responsibilities Assurance of data quality & representativity, implementation of post-stratification and imputation methods, analysis of individual trajectories of political preference
  Supervisor Prof. Dr. Michael Mäs, Karlsruhe Institute of Technology (KIT)

• Teaching Assistant (2018)

  Heidelberg University, Germany – Faculty of Economics and Social Sciences
  Department Chair of Econometrics & Statistics, Prof. Dr. Christian Conrad

  Responsibilities Teaching assistant for B.Sc. course “Economic & Social Statistics”, holding statistical programming lab sessions in STATA
  Supervisor Dr. Alexander Glas

• Research Assistant (2014 – 2015)

  Technische Universität München (TUM), Germany – TUM School of Management
  Department Chair of Operations Management, Prof. Dr. Rainer Kolisch

  Responsibilities Infrastructure administration: LRZ computation cloud, VMs, network & system operations, databases
  Supervisor Dr. Christian Ruf

Related Projects

Please see my Projects page for an overview of my recent projects.

Conferences

• Annual Meeting of the DVPW Section “Methods of Political Science” (2026)
  Location Leibniz University Hanover, Germany
  Status accepted

  Title Modelling Short-Term Voter Volatility: A Bayesian Imputation Approach Using High-Frequency Panel Data
  Track Presentation

• Annual Meeting of the DVPW Working Group “Elections and Political Attitudes” (2026)
  Location Johannes Gutenberg University Mainz, Germany
  Status accepted

  Title Modelling Voter Volatility: Analysing Short-Term Voting Intention Change Using High-Frequency Panel Data
  Track Research Plan & Presentation

• PolMeth Europe (2026)
  Location Trinity College Dublin, Ireland
  Status accepted

  Title Modelling Short-Term Voter Volatility: A Bayesian Imputation Approach Using High-Frequency Panel Data
  Track Paper & Presentation

• StanCon (2026)
  Location University of Uppsala, Sweden
  Status accepted

  Title Modelling Short-Term Voting Propensity Shifts as Trajectories on the Simplex: A Bayesian State-Space Imputation Model Using High-Frequency Panels
  Track Poster Presentation

• ECPR General Conference (2026)
  Location Jagiellonian University, Kraków, Poland
  Status reserved, withdrawn

Teaching

• Quantitative Methods (2026)
  Institution University of Mannheim, Germany
  Semester Fall Semester 2026
  Format Weekly Labs for Main Lecture
  Level Master’s, PhD
  Role Lab Instructor (Teaching Assistant)

• Introduction to R for MA Political Science Students (2026)
  Institution University of Mannheim, Germany
  Semester Fall Semester 2026
  Format Block Seminar (1 Week)
  Level Master’s, PhD
  Role Course Instructor (Organiser)

• Advanced R for Data Analysis and Reporting (2026)
  Institution Karlsruhe Institute of Technology (KIT), Germany
  Semester Fall Semester 2026
  Format One-Day Workshop
  Level Open to all students
  Role Course Instructor (External Lectureship)

Technical Skills

• Data Analysis & Statistics

  Advanced Bayesian statistics, multilevel & latent variable models, compositional data analysis, survey methodology, data simulation, data visualisation & reporting

  Intermediate Causal inference, geospatial data analysis, machine learning, text as data / NLP, larger-than-memory data handling, web crawling, synthetic data generation

  Basic Network analysis, deep neural networks, time series analysis

  Familiar Data Sets/Sources

  • German Longitudinal Election Study (GLES)
  • Social Sentiments in Times of Crises (SOSEC)
  • Forsa, Infratest dimap, Forschungsgruppe Wahlen political polls
  • ZEIT Online moving average models of polls
  • German federal- and state-level administration data
  • German and US American census data
  • Weather data nowcast & forecast (DWD)
  • OpenStreetMap (OSM)
  • Overpass Turbo
  • Berlin spatial data (FIS Broker)
  • Marktstammdatenregister (BNetzA)
  • Emissions Database for Global Atmospheric Research (EDGAR)
  • Eurostat
  • Meteostat
  • World Bank

• Programming

  Advanced R (+ Markdown, Quarto, Shiny), STAN, SQL, Typst, LaTeX

  Intermediate Python, HTML + CSS, JavaScript, Jekyll, PHP, Bash

  Basic Julia, C++, STATA

  System & Server Operations

  • Linux (Ubuntu, Debian) setup & administration
  • Cloud computing: Positron Server, AWS S3/EC2
  • Version control: GitHub, GitLab
  • Network: Advanced configurations incl. WireGuard, VPN, SSH, DNS
  • Databases: DuckDB, PostgreSQL, MySQL, MongoDB
  • Hosting: Web servers, CMS, Nextcloud, email & domain management

Preferred Stack
• Windows & tunnelled Ubuntu VM
• Positron (with remote tunnel) > VS Code > RStudio
• R tidyverse > base R > Python
• DuckDB > PostgreSQL
• Typst > Quarto/RMarkdown + LaTeX > pure LaTeX
• Mendeley > Zotero

Thanks for your interest! Also see my Recent Projects.

Please feel free to reach out to me or connect through LinkedIn.