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Hi, I am Benedikt

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Dr. Benedikt Langenberg

Founder | Consultant at
BLAnalytics - Data Consultancy

I am a statistician, data scientist, and methodologist with a passion for turning complex data problems into clear, actionable insights. At BL Analytics, I work with organizations and companies to design studies, develop statistical models, and build reproducible, data-driven workflows. Alongside this, I serve as an Assistant Professor of Methodology & Statistics at Maastricht University in the Netherlands. With a background in psychology, computer science, and statistical methodology, I bring a blend of technical depth and communication clarity to every project. Whether through consulting or tailored workshops, my goal is to make data science both accessible and methodologically sound.

Please note that my work at BL Analytics is fully independent and not affiliated with Maastricht University.

What I Offer

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Statistical Modeling

I help you make sense of complex data using advanced statistical models tailored to your research questions and study design.
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Data Science

I apply machine learning to discover patterns, predict outcomes, and unlock insights from structured, behavioral, or clinical data.
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Data Visualization & Dashboards

I turn complex results into clear, compelling visuals and dashboards - designed for exploration, communication, and decision-making.
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Statistical Programming & Package Development

I build custom analysis tools and R/Python packages to automate workflows, ensure reproducibility, and support open science.
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Workshops & Training

I offer tailored workshops to help teams build practical skills in statistics, R, Python, modeling, and reproducible research.
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Study Planning

I support you in designing methodologically sound studies - from power analysis to simulation-based planning and protocol development.
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Skills (Selection)

Statistical Modeling

asd Structural Equation Modeling, Multilevel Models, Generalized Linear Mixed Models, Piecewise Regression, Latent Class & Profile Analysis, Regularized Regression, Support Vector Regression
Bayesian Methods

asd Bayesian Estimation, Bayesian SEM, Probabilistic Programming with stan
Causal Inference

asd Mediation & Moderation, Propensity Scores, Causal Mediation, Subgroup Discovery, Bias Mitigation Strategies
Simulation Techniques

asd Monte Carlo Simulation, Power Simulations, Simulation-Based Model Evaluation
Machine Learning & Pattern Discovery

asd Random Forests, Decision Trees, Clustering, Feature Selection, Subgroup Discovery, Predictive Modeling
Dimensionality Reduction & Factor Techniques

asd Principal Component Analysis (PCA), Factor Analysis
Statistical Programming

asd R, Python (pandas, numpy, scikit-learn, matplotlib, seaborn), stan, SQL, SAS, SPSS, JAVA
Software Development

asd R Package Development (semnova, subgroupSEM, powerANOVA, sccm), Git & GitHub, API Integration, Code Documentation, Workflow Automation
Reproducible Research

asd Open Science Practices, Preprints, Transparent Method Reporting, Simulation Pipelines, Reproducible Workflows
Data Visualization

asd ggplot2, seaborn, matplotlib, Shiny Dashboards, Python Dashboards, Exploratory Visualization
Study Design & Methodology

asd Power Analysis, Sample Size Planning, Study Design Principles, Longitudinal & Panel Design, Repeated Measures Design, Experimental Design, Mediation Design, Clinical Trial Methodology, Survey Development, Hypothesis Testing
Grant & Proposal Writing

asd Statistical Sections for Grant Applications, Simulation-Based Feasibility Analysis, DFG/DAAD/Open Science Grant Experience
Teaching & Workshops

asd Custom Workshops in R, Python, SEM, Bayesian Methods, Power Analysis, Academic Teaching (Maastricht University, Bielefeld), PhD Supervision, Data Science for Health
Open Science & Community Engagement

asd OSF, Preprint Publishing, Open Science Grant Awards, Community Events (OSCN Retreat), Conference Participation

Experiences

1
BLAnalytics

Apr 2025 - Present

The Netherlands

Founder | Consultant
Responsibilities:
  • Provide expert consultation in statistical modeling, data science, and study planning for academic and industry clients
  • Develop and deliver tailored workshops on advanced statistical methods and tools (e.g., R, Python)
  • Translate methodological expertise into practical, reproducible workflows and training materials
Maastricht University

Sep 2023 - Present

Maastricht, The Netherlands

Assistant Professor of Methodology & Statistics
Responsibilities:
  • Provided consultation on study design and statistical methodology for research projects and proposals in health, medicine and life sciences
  • Developed statistical methods for intensive longitudinal and panel data
  • Developled statistical software packages and dashboards using R and Python
  • Applied ML for subgroup discovery in clinical studies
  • Supervised eight junior researchers in statistics and research methodology
  • Led workshops on data science for health, medicine & life sciences
2
3
San Diego State University

Feb 2021 - Apr 2021

California, USA

Research Scholar
Responsibilities:
  • Research Project: Bayesian estimation of treatment effects in experiments
  • Statistical proramming with R and stan
Bielefeld University (Postdoc)

May 2022 - Aug 2023

Bielefeld, Germany

Postdoctoral Researcher
Responsibilities:
  • Provided statistical consultation on multidisciplinary research projects
  • Conducted Monte Carlo simulations to assess model performance
  • Applied ML techniques to medical datasets in R and Python
  • Developed custom R packages and provided methodological consulting
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5
Bielefeld University & RWTH Aachen University

Mar 2018 - May 2022

Germany

Research Associate
Responsibilities:
  • Dissertation: “Repeated measures ANOVA with latent variables: A new approach based on structural equation modeling”
  • Development of statistical methods for latent variables modeling in experiments
  • Statistical proramming with R and stan
Allround Team GmbH (Ford Supplier)

Feb 2016 - Feb 2018

Cologne, Germany

UX Researcher
Responsibilities:
  • Conducted usability and UX testing for human-machine interaction and driver assistance systems
  • Designed and ran UX studies in both driving simulators and real-world settings
  • Analyzed survey and behavioral data
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7
Probantoo

Sep 2013 - Dec 2016

Germany

Startup Project Lead
Responsibilities:
  • Web-based platform for participant scheduling for clinical and psychological studies in academic research
  • Recipient of the Mobile Solutions Award (€10,000) by adesso AG and the University of Duisburg-Essen (Germany)
  • Modeled entity relationships and system logic for participant, study, and time slot management
  • Used modeling frameworks to translate requirements to the developer team

Education
Bielefeld University, Germany
2022
PhD in Quantitative Psychologie
Honors: cum laude
Ghent University, Belgium
2021
MSc Statistical Data Analysis
Honors: cum laude
RWTH Aachen University, Germany
2017
MSc Psychology
Honors: cum laude
RWTH Aachen University, Germany
2017
BSc Computer Science
RWTH Aachen University, Germany
2014
BSc Psychology

Publications

Contact Me

Whether you have a question, want to collaborate, or just want to say hi — I’d love to hear from you. Fill out the form below or reach out directly using the contact information provided. I’ll get back to you as soon as possible.