About Me

I’m Felix, a final-year Ph.D. student in Sociology at the Ecole Polytechnique in Paris, currently living in Boston with my partner and two cats. I’m a German citizen with a valid U.S. work permit.

I hold a Bachelor’s of Arts degree in Political Science (University of Regensburg), a Master’s of Science in Computational Social Science from Linköping University, and will defend my Ph.D. in Sociology at the Ecole Polytechnique in Paris in early 2026. During my Ph.D., I also spent two Spring terms as a visiting scholar at Duke University.

You can find my CV below. If you want to get in touch, please reach out via email or LinkedIn.


Summary

Early-career Data Scientist with hands-on experience applying machine learning, NLP, causal inference, and statistical modeling to real-world, data-heavy problems. Experienced in owning end-to-end analysis, working with ambiguous datasets, and translating business and product questions into reproducible, actionable insights across Python, SQL, and R.

Technical Skills

Languages & Tools: Python (pandas, scikit-learn, transformers, numpy), SQL, R (tidyverse, ggplot2, RShiny), MS Excel Machine Learning & Analytics: NLP, text classification, SpaCy, clustering, forecasting, A/B testing, regression Causal Inference: Difference-in-differences, synthetic control, propensity score matching Data Practices: Dashboarding (RShiny, PowerBI, Looker, Tableau), version control (git), web scraping

Work Experience

(ordered by start date, most recent first)

University of Oslo | Data Scientist (Contract)

Oslo, Norway (remote) · Feb 2025 - Jan 2026

Developed and implemented analysis pipelines for open-ended survey responses in 4 different languages using local LLMs and sBERT-based clustering. Validated output against human-coded responses, achieving human-like accuracy (F1: 0.91-0.98). Delivered publication-ready visualizations and code for reproducibility.

Statistical Horizons | Consulting Data Analyst

Philadelphia, PA (remote) · Oct 2024 - Aug 2025

Developed AI-focused curriculum, yielding 5 new AI-focused courses. Created interactive RShiny dashboards for data-driven decision making to identify and cut under-performing course offerings. Increased enrolment by developing targeted advertising campaigns.

Leipzig University | Lecturer

Leipzig, Germany (hybrid) · Oct 2021 - Dec 2025

Developed and taught 10 courses on data science methods including web scraping, NLP, and machine learning. Co-supervised 10+ Bachelor’s and 3 Master’s theses.

Linköping University | Data Analyst

Norrköping, Sweden (hybrid) · Feb 2020 - Jun 2021

Analyzed large text datasets using machine learning classifiers. Web scraped 80+ million forum postings used in 3 academic publications and training of a Swedish LLM. Assisted in research articles for Nature Human Behavior and Science Advances.

University of Regensburg | Lecturer

Regensburg, Germany (hybrid) · Dec 2018 - Jun 2021

Taught 7 undergraduate and graduate-level courses on social network analysis, data wrangling, visualization, and statistical modeling in R.

Education

Ph.D. in Sociology | École Polytechnique

Paris, France · Sep 2021 - Mar 2026

Specialized in computational methods for digital behavioral data analysis. Co-authored 5 papers, presented at 10+ international conferences, co-organized 2 Summer Institutes in Computational Social Science.

Dissertation: Seeing Political Polarization through a Fresh Set of AIs (defense: March 4, 2026)

M.Sc. in Computational Social Science | Linköping University

Norrköping, Sweden · Aug 2019 - Jul 2021

B.A. in Political Science | University of Regensburg

Regensburg, Germany · Oct 2014 - Mar 2019

Additional Information

Work Authorization: Married to US citizen (no visa sponsorship required); authorized to work in EU (German citizen)

Awards: Ph.D. scholarship from École Polytechnique, 2 travel grants from French National Scientific Center and German Academy for Sociology

Languages: German (native), English (C2), French (A2)

Research Stays: Duke University (Durham, NC) - Spring 2024 & Spring 2025