Dr.-Ing. Silvia Budday

Department of Mechanical Engineering
Institute of Applied Mechanics (Prof. Dr. Steinmann)

Room: Room 00.011
Egerlandstraße 5
91058 Erlangen

Short Bio

Silvia Budday, currently an Independent Junior Research Group Leader in the Emmy Noether-Programme (“BRAINIACS – BRAIn mechaNIcs ACross Scales”) at the LTM, studied Mechanical Engineering at the Karlsruhe Institute of Technology (KIT), where she graduated with one of the four best Bachelor’s degrees in 2011 and the best Master’s degree of a female student in 2013. During her Master’s studies, she spent one year abroad at Purdue University, Indiana, USA, for which she received an international scholarship by the DAAD (German Academic Exchange Service). She was also a scholar of the German Academic Scholarship Foundation. She did her PhD on “The Role of Mechanics during Brain Development” at FAU supervised by Prof. Paul Steinmann in close collaboration with Prof. Ellen Kuhl at Stanford University and Prof. Gerhard Holzapfel at Graz University of Technology. She finished her PhD in December 2017 with “summa cum laude” and was awarded the GACM Best PhD Award (German Association for Computational Mechanics) and the ECCOMAS Best PhD Award for one of the two best PhD theses in the field of Computational Methods in Applied Sciences and Engineering in Europe in 2017. Furthermore, she received the Bertha Benz-Prize from the Daimler und Benz Stiftung as a woman visionary pioneer in engineering, and the 2017 Acta Journals Students Award. In July 2018, she received an Emerging Talents Initiative (ETI) Grant, and in October 2018 an Emerging Fields Initiative (EFI) Grant by the FAU. Since April 2019, she is an Independent Junior Research Group Leader in the Emmy Noether-Programme by the German Research Foundation (DFG). Her work focuses on experimental and computational soft tissue biomechanics with special emphasis on brain mechanics and the relationship between brain structure and function.

  • Modeling and computation of growth in soft biological matter

    (Third Party Funds Single)

    Term: 1. February 2014 - 30. April 2018
    Funding source: DFG-Einzelförderung / Sachbeihilfe (EIN-SBH)
  • BRAIn mechaNIcs ACross Scales: Linking microstructure, mechanics and pathology

    (Third Party Funds Single)

    Term: 1. August 2019 - 31. July 2022
    Funding source: DFG-Einzelförderung / Emmy-Noether-Programm (EIN-ENP)

    The current research project aims to develop microstructurallymotivated mechanical models for brain tissue that facilitate early diagnosticsof neurodevelopmental or neurodegenerative diseases and enable the developmentof novel treatment strategies. In a first step, we will experimentallycharacterize the behavior of brain tissue across scales by using versatiletesting techniques on the same sample. Through an accompanying microstructuralanalysis of both cellular and extra-cellular components, we will evaluate thecomplex interplay of brain structure, mechanics and function. We will alsoexperimentally investigate dynamic changes in tissue properties duringdevelopment and disease, due to changes in the mechanical environment of cells (mechanosensing),or external loading. Based on the simultaneous analysis of experimental andmicrostructural data, we will develop microstructurally motivated constitutive lawsfor the regionally varying mechanical behavior of brain tissue. In addition, wewill develop evolution laws that predict remodeling processes duringdevelopment, homeostasis, and disease. Through the implementation within afinite element framework, we will simulate the behavior of brain tissue underphysiological and pathological conditions. We will predict how known biologicalprocesses on the cellular scale, such as changes in the tissue’smicrostructure, translate into morphological changes on the macroscopic scale,which are easily detectable through modern imaging techniques. We will analyzeprogression of disease or mechanically-induced loss of brain function. The novelexperimental procedures on the borderline of mechanics and biology, togetherwith comprehensive theoretical and computational models, will form thecornerstone for predictive simulations that improve early diagnostics of pathologicalconditions, advance medical treatment strategies, and reduce the necessity ofanimal and human tissue experimentation. The established methodology will furtheropen new pathways in the biofabrication of artificial organs.

Introduction to Neuromechanics

Summer terms 2016 and 2019


Summer terms 2018 and 2019