Description

I am an experienced data scientist and researcher with a background in neurology, experimental and clinical neuropsychology/neuroscience, neuroimaging, experimental design, statistical data analysis, and machine learning.

I have a strong publication record in international peer-reviewed journals and presented research at international conferences.

I am experienced using various data science tools in R (tidyr, dplyr, lme4, e1071, ggplot2) and Python (pandas, numpy, scikit-learn, scipy, statsmodels, matplotlib, seaborn, plotnine, PySpark) in a HPC cluster and cloud computing environment applying workflow tools like Snakemake.

I am experienced with collaborative code development (git) and Agile Scrum methodology and have served as Scrum Master of data science teams.

Industry field of expertise

Languages

German
Native or bilingual
English
Fluent
French
Basic

Workplace preferences

Can work on-site

Basel (up to 50km)

Capgemini Engineering,
Senior Data Science Consultant Life Sciences
July 2023 - January 2025 (1 year and 6 months)
Basel, Switzerland
• Analyzed data from various sources using regression, clustering and classification methods
• Built and maintained data analysis pipelines from raw data to quality control, feature engineering and statistical analysis and visualization in Python and R
• Communicated analysis results to internal and external project stakeholders
Python Data Science Machine learning Statistics Life Sciences
Pharma Research & Early Development, F. Hoffmann-La Roche AG,
Senior Data Scientist in Digital Biomarkers for Neurodegenerative Diseases
February 2020 - June 2023 (3 years and 4 months)
Basel, Switzerland
• Analyzed data from smartphones sensors and smartphone-based behavioral tests to track and understand patient behavior in clinical studies using Python and R
• Validated novel smartphone-based behavioral tests and passive monitoring data with established neurological clinical exams and neuroimaging biomarkers
• Communicated clinical study results to scientific, medical and non-scientific project stakeholders
University of Tübingen, Hertie-Institute for Clinical Neuroscience,
Senior Research Scientist in Neuropsychology/Cognitive Neuroscience
August 2019 - February 2020 (6 months)
Germany
• Applied behavioral and neuroimaging methods to study human object perception
• Used machine learning methods (SVM, decision trees) and modeling techniques for lesion mapping in stroke patients