معرفی
Christian L. Vestergaard is a CNRS researcher (Researcher rank) in the Decision and Bayesian Computation group within the Department of Neuroscience at the Institut Pasteur, Paris. He holds a PhD in theoretical biophysics from the Technical University of Denmark and has held postdoctoral positions at the Institut Pasteur, Center for Theoretical Physics (Marseille), and DTU Nanotech. He currently leads research projects on neural connectomes and numerical methods for network analysis.
Education:
- PhD in Theoretical Biophysics, DTU Nanotech, Technical University of Denmark (2008–2012)
- Master’s in Physics and Biophysics, Niels Bohr Institute, University of Copenhagen (2003–2008)
- Exchange Semester, UPMC, Paris (2007)
- Second-Year Master’s in Complex Systems
His research lies at the intersection of statistical physics, biophysics, and computational neuroscience. He focuses on data-driven modeling of complex dynamical systems, particularly in biological contexts such as neural networks, single-molecule dynamics, and behavioral analysis. His work emphasizes the development of statistical and computational methods to infer structure-function relationships in biological systems.
The analysis of his recent publications reveals a strong trend toward methodological innovation in network science, Bayesian inference, and machine learning applied to neuroscience and biophysics. Key themes include temporal network modeling, stochastic processes, information maximization in decision-making, and high-throughput behavioral phenotyping in Drosophila. His work combines theoretical rigor with practical applications in biological data analysis.
Scientific Awards and Grants:
- ANR JCJC grant — SiNCoBe (2021–2024)
- ANR Inception grant — BitesGoingViral (2022–2024)
- ANR PR[AI]RIE Springboard Chair (2021–2023)
- ACIP Inter-Institut Pasteur Concerted Actions grant — ETHOMOS (2019–2021)
- Pasteur-Roux-Cantarini postdoctoral fellowship (2017–2019)
- Copenhagen Graduate School pre-doc stipend (2008)
Christian L. Vestergaard actively collaborates with principal investigators such as Jean-Baptiste Masson and François Laurent. He has been involved in advising PhD students and postdoctoral researchers within the lab, contributing to interdisciplinary projects that integrate physics, computer science, and biology. His group utilizes advanced computational tools and software such as TRamWAy and LarvaTagger for analyzing large-scale biological datasets.
Laboratories and Research Teams:
- Decision and Bayesian Computation Lab, Institut Pasteur (current)
- Statistical Physics and Complex Systems team, CPT Marseille (former)
- Stochastic Systems and Signals group, DTU Nanotech (former)
