@aureliecarlier
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Registered: 5 years, 1 month ago
I am trained as a biomedical engineer and I strongly believe an interdisciplinary approach, which combines experimental with computational research, is crucial to increase our fundamental knowledge, reduce the trial-and-error of experimental research and move towards a more predictive and patient-specific treatment of disabling disorders. More specifically, my research expertise focuses on the development and experimental validation of computational models of key biological processes in the context of tissue regeneration and cell-biomaterial interactions. For the implementation of the computational models, I apply a range of modeling techniques including hypothesis-based mechanistic models and data-driven models. The interdisciplinary skills that I have acquired during my PhD, allow me to take on these challenges and to build new bridges across computational and biological disciplines whereas my biomedical engineering background assists me in maximizing the potential societal impact of my work. As a tenure track assistant professor at the MERLN Institute for Technology-Inspired Regenerative Medicine, I continuously strive to think ‘outside the box’ and to improve my leadership and communication skills. I am also thrilled to explore and share novel ideas with other passionate researchers and expand my current international network of contacts and collaborations. Currently, I am formalizing my ongoing work into the following research lines: 1. Developing next-generation in silico models of signaling crosstalk and emergent behavior 2. Developing next-generation numerical techniques to bridge various time and space scales 3. Developing next-generation in vitro tools and imaging modalities to quantify the intracellular, spatiotemporal localization and activity of proteins
Website: https://sites.google.com/view/aureliecarlier/homepage
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