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Resume

Professional & Academic Experience

  • Phd Student in Microbial Data Science

    ICB Institute of Computational Biology (Helmholtz Center Munich)

    Period: April 2024 – Present

    Advanced microbial behavior understanding by linking single-cell RNA sequencing and flow cytometry data using optimal transport theory and autoencoders, while expanding an R package for bacterial growth curve analysis.

  • Master's Thesis: R Package Development for Growth Analysis

    University of Munich, Department of Statistics (LMU)

    Period: March 2023 – November 2023

    Created a full open-source S4 R program for bacterial growth curve analysis, which includes preprocessing, low-dimensional embedding, and hypothesis testing of numerous substances.

  • Undergraduate Research Assistant

    ICB Institute of Computational Biology (Helmholtz Center Munich)

    Period: December 2022 - March 2023

    Analyzed 64,000 bacterial growth curves using Python and Gaussian processes to contribute to antibiotic resistance research, and performed differential testing with R and Python to explore new areas and demonstrate biostatistical innovation.

  • Statistical Consultant

    Technical University of Munich, Professorship for Public Health and Prevention (TUM)

    Period: October 2022 - March 2023

    Using deep learning on 300,000 data entries, we were able to predict strokes in diabetic patients, boosting accuracy by 2% over standard methods. Using Python and PyTorch, we improved risk assessment approaches in recall, precision, and F1 scores, allowing us to swiftly identify high-risk patients for more effective therapy.

Educational Background

  • Master of Science - Statistics and Data Science

    University of Munich (LMU)

    Period: October 2021 – November 2023

    Focused on Biostatistics and High-Dimensional Data Analysis

    Master's Thesis: Degrowth - Using Gaussian Processes for Bacterial Growth Curve Analysis in R

    Awards: Best Master’s Thesis in the Statistics Department, Santander Universitäten Scholarship

  • Bachelor of Science - Business Mathematics

    University of Munich (LMU)

    Period: October 2018 - September 2021

    Focused on Applied Mathematics and Statistics