Schüttler, Magdalena (MSc)

My research focuses on learning about the mechanisms underlying preimplantation mouse embryo development. Currently, this entails applying simulation-based inference (SBI), a deep learning approach, on our agent-based model of the early mouse embryo. SBI allows us to have a deeper look into the effects of the individual biochemical and biophysical mechanisms on the pattern formation and blastocyst development, so we can tune the simulation model to experimental data.

Past and ongoing research projects focus on automatically extracting topological and morphological features from images across diverse biological and medical systems, including bacterial colonies, blood vessel networks, and cardiac biomarkers.

• 2025-now: PhD student
  Project: Simulation-Based Inference for Agent-Based Simulation of Mouse Blastocyst Development
   
• 2022-2025: Student assistant
  AIComB, Center for Computational and Theoretical Biology (CCTB), University of Würzburg, Germany
  Main Project: VESNA – An Open-Source Tool for Automated 3D Vessel Segmentation and Network Analysis
   
• 2023-Summer 2025: MSc Biochemistry
  BioMeDS, CCTB, Würzburg
  Thesis: "Imaging Biomarkers in Fabry Disease – An Assessment of Diagnostic and Prognostic Value"
      
• 2020-2023: Bachelor of Science in Biochemistry
  Institute for Anatomy and Cell Biology, Würzburg, Germany
  Thesis: "Generation of Blood Vessel Organoids for Validation of Automated Image Processing and Data Analysis"