Felix Lennert, Ph.D.
I am a computational social scientist based in Boston, MA, with expertise in quantitative methods, causal inference, and applied NLP. I hold a Ph.D. from ENSAE, Institut Polytechnique de Paris (2026) and specialize in translating complex analytical findings into clear, actionable insights for decision-makers. My work spans consumer behavior, market analysis, political attitudes, and organizational performance – combining the methodological rigor of academic research with the practical orientation of applied consulting.
I am currently seeking roles in economic consulting, analytics, and data science where quantitative depth, original research, and communication clarity are equally valued.
Areas of Expertise
Causal Inference & Econometrics
Applying difference-in-differences, synthetic control, propensity score matching, and regression modeling to isolate treatment effects and support evidence-based decision-making in complex, observational settings.
NLP & Text Analytics
Designing and deploying text classification pipelines, topic models, transformer-based embeddings, and LLM-integrated workflows to extract structured insight from large-scale unstructured data across multiple languages.
Survey Methodology & Consumer Research
Designing surveys and automated response classification systems for cross-national research. Validating automated coding against expert benchmarks and delivering reproducible, publication-ready analyses.
Data Strategy & Communication
Building interactive dashboards, reproducible analysis pipelines, and stakeholder-ready reporting to support data-driven decisions in research, educational, and commercial contexts.
Recent Work
- Completed doctoral research on ideological, affective, and lifestyle polarization across France, Germany, and Sweden using large-scale computational methods.
- Providing freelance analytical consulting to domestic and international clients in education, research, and industry – including NLP pipeline development, performance analytics, and LLM-based classification systems.
- Teaching data science methods to Sociology students at senior and master level. Mentoring Bachelor’s and Master’s students during their final theses.