Nathan Quiblier

Postdoctoral researcher in applied mathematics & computational biology

  • Intracellular Signaling in Heterogeneous Media (PhD, Inria Aistrosight)
    Developed physics-informed machine learning tools to analyze spatial heterogeneity in transcription factor diffusion, using fluorescence correlation spectroscopy (FCS) and single-particle tracking (SPT).

  • Multiscale Photonic Simulation for TF Dynamics (Internship, Inria Beagle)
    Designed a multimodal simulator combining FCS and SPT to analyze the spatiotemporal behavior of transcription factors in the nucleus.

  • Bone Regeneration Modeling (Internship, Université Lyon 1)
    Created a numerical model combining integro-differential and ODE systems to describe bone regeneration mechanisms.