Research
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Modelling endosome induced compartmentalization in signalization Developed a coagulation based pde to model signaling pathway, taking into account endosomes’ life cycle. Then developed a finite volume scheme to challenge biological data
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Inference of physical parameters of anomalous transport
Developed physics-informed machine learning tools to analyze spatial heterogeneity in transcription factor diffusion, using fluorescence correlation spectroscopy (FCS) and single-particle tracking (SPT). Particularly studying anomalous behaviour. -
Multiscale Photonic Simulation for TF Dynamics
Designed a multimodal simulator combining FCS and SPT to analyze the spatiotemporal behavior of transcription factors in the nucleus.