I am a statistical physicist and biophysicist with a main interest in data-driven modeling and in developing methods for the analysis of complex dynamical systems. The focus of my research has been on time-varying (temporal) social networks and single molecule dynamics in intracellular processes. I currently work on linking the physical structure and function of the brain to behavior.
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Timeline
Projects
Software
Former Teams
CV
Education & research positions
- 2017 – : CNRS researcher (CRCN) in the Decision and Bayesian Computation group in the Department of Neuroscience at the Pasteur Institute, Paris.
- 2021 – : Springboard Chair at PR[AI]RIE.
- 2016 – 2017: Postdoc in the Decision and Bayesian Computation group in the Department of Neuroscience at the Pasteur Institute, Paris.
- 2013 – 2016: Postdoc in the group of Dr. Alain Barrat in the Statistical Physics and Complex Systems team at the Center for Theoretical Physics (CPT), UMR 7332, Marseille.
- 2012 – 2013: Postdoc in the Stochastic Systems and Signals group at DTU Nanotech, Technical University of Denmark.
- 2008 – 2012: PhD in theoretical biophysics in the Stochastic Systems and Signals group at DTU Nanotech, Technical University of Denmark.
- 2003 – 2008: Master’s in physics and biophysics at the Niels Bohr Institute for theoretical physics, University of Copenhagen.
- 2007: Exchange semester at UPMC, Paris. Second year Master’s in complex systems.
Grants & fellowships
- 2022-2024: ANR Inception grant — BitesGoingViral.
- 2021-2023: ANR PR[AI]RIE chair package
- 2021-2024: ANR JCJC grant — SiNCoBe.
- 2019-2021: ACIP: Inter-Institut Pasteur Concerted Actions grant — ETHOMOS.
- 2017-2019: Pasteur-Roux-Cantarini postdoctoral fellowship.
- 2008: Copenhagen Graduate School for Nanoscience and Nanotechnology Pre-doc stipend.
Referee work: Publons page
Publications
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2023Simulation-based inference for non-parametric statistical comparison of biomolecule dynamics., PLoS Comput Biol 2023 Feb; 19(2): e1010088.
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2022Gillespie Algorithms for Stochastic Multiagent Dynamics in Populations and Networks, Cambridge University Press, 2022, Cambridge Elements: The Structure and Dynamics of Complex Networks, Guido Caldarelli, 978-1-009-23915-8 (ebook). ⟨10.1017/9781009239158⟩.
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2022Variational inference of fractional Brownian motion with linear computational complexity, Physical Review E , 2022, 106, pp.055311. ⟨10.1103/PhysRevE.106.055311⟩.
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2022Randomized reference models for temporal networks, SIAM Review, 2022, 64 (4), ⟨10.1137/19M1242252⟩.
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2022TRamWAy: mapping physical properties of individual biomolecule random motion in large-scale single-particle tracking experiments., Bioinformatics 2022 May; 38(11): 3149-3150.
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2022Hematopoietic stem cell transplantation chemotherapy causes microglia senescence and peripheral macrophage engraftment in the brain., Nat Med 2022 Mar; 28(3): 517-527.
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2021Learning physical properties of anomalous random walks using graph neural networks, J. Phys. A: Math. Theor. 54 234001.
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2020Statistical Tests for Force Inference in Heterogeneous Environments., Sci Rep 2020 03; 10(1): 3783.
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2019Mapping spatio-temporal dynamics of single biomolecules in living cells, Phys. Biol. 2019 Nov;17(1):015003.
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2018Single-particle trajectories reveal two-state diffusion-kinetics of hOGG1 proteins on DNA, Nucleic Acids Res. 2018 Jan;.
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