Curriculum Vitae

Explore my academic journey, professional experience, and skills in detail.

Personal Profile

I am a passionate and dedicated physics DPhil student with a strong interest in computational physics and machine learning. I thrive in collaborative research environments, and my technical skills include advanced Python programming and proficiency in Git source control. I am committed to dedicating my life to science to create tangible real-world impact.

Education

  • DPhil in AI for the Environment

    University of Oxford, 2024–present

    Expected graduation: March 2029

  • M.Sc. in Physics (Computational Physics and Machine Learning)

    Heidelberg University, 2022–2024

    With distinction

  • B.Sc. in Physics

    Heidelberg University, 2019–2022

  • Abitur

    Wilhelmi Gymnasium, Sinsheim, Germany, 2011–2019

    Top of class in Math and Physics

Professional Experience

  • Visiting Researcher, African Institute of Mathematical Sciences (AIMS)

    Cape Town, South Africa, 2023

    • Implemented Genetic Algorithm for spectrogram optimization of bioacoustic data to enable real-time wildlife monitoring of critically endangered species.
    • Designed and wrote the core code structure using Object-Oriented Programming.
    • Built a GUI with TensorBoard integration for tracking training progress.

  • Research Assistant, AstroAI Lab

    Interdisciplinary Center for Scientific Computing (IWR), Heidelberg University, 2022–2023

    • Published open-source code for MEGS (GitHub).
    • Organized the Carl-Zeiss-Stiftung Summer School for Scientific Machine Learning (Website).

Awards

  • Baden-Württemberg-Stiftung Scholarship, 2023
  • Multitorch Scholarship for best grades in Physics and Math, 2019