Welcome!
Hi, and welcome to my personal website.
I’m a Biostatistician and Data Scientist with over ten years of experience applying statistical methods to real-world scientific problems across academic research and industry. My work spans experimental design, statistical modeling, Bayesian methods, simulation, and reproducible data analysis, with a particular focus on translating complex data into clear, actionable insights.
My background includes four years supporting R&D projects at Bayer Crop Science, where I led study design, statistical analysis, and cross-functional collaboration with multidisciplinary teams. Besides, as prior research and consulting roles applying Bayesian and mixed-model methods to complex biological systems.
Building on this foundation, I’m now focused on clinical biostatistics and pharmacometrics, and I’m actively pursuing further training in model-informed drug development (MIDD) to complement my quantitative background.
This website serves as a portfolio of my professional work, publications, technical projects, and educational activities. Whether you’re a recruiter, collaborator, or fellow data enthusiast, I hope you find something useful here. Thanks for stopping by!
Education
PhD in Bioinformatics
Jacobs University Bremen
Thesis: “Mathematical modelling of cocoa bean fermentation processes”
MSc in Statistics
Catholic University of Leuven
Thesis: “Four-Level Meta-Analysis: A comparison with Three-Level Meta-Analysis”
BSc in Biotechnology
Escuela Politécnica del Ejército
Thesis: “Urban waste-water treatment through the use of native cyanobacteria from the Polylepis pauta forest of Papallacta – Ecuador”
Experience
Biostatistics Scientist
Bayer Crop Science
- Statistical support for R&D projects across the study lifecycle.
- Experimental design, simulation-based power analysis, and statistical modelling.
- Collaboration with multidisciplinary teams to translate scientific questions into analytical strategies.
Post-doctoral Researcher
Research Institute for Farm Animal Biology
- Provided statistical consulting to researchers, study design, analysis planning, and interpretation of results.
- Applied advanced statistical methods to ensure robust and reproducible analyses.
- Communicated statistical results to non-statistical collaborators.
Research Associate
Jacobs University Bremen
- Developed statistical and Bayesian models to complex biological systems.
- Designed reproducible analytical workflows using R and Stan.
- Collaborated with experimental scientists to translate biological hypothesis into quantitative frameworks and statistical analyses (e.g., PCA, ANOVA, GLMM).
Let’s connect
I’m always interested in discussing statistical modelling, data science, research collaborations, and teaching opportunities.