About Me

I hold a PhD in soft matter physics and statistical physics. I am interested in the field of soft matter physics and statistical physics, from microscopic to macroscopicscales. I combine experimental physics with numerical modeling to maintain a versatile approach to the fundamental questions in my research in physics.

Between 2020 and 2024, I carried out a doctoral thesis on the numerical simulation of confined Brownian motion [3], a phenomenon describing the random motion of microparticles in a fluid, driven by thermal agitation. This study quantified the non-Gaussian nature of the displacement of such a particle when confined between two rigid walls, complementing an experimental study [2]. It also contributed to validating theoretical predictions through a substantial set of numerical simulations [1]. You can find the corresponding code on my GitHub page : Numerical_simulations_of_confined_brownian_motion​.

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In 2024, I conducted a six-month experimental postdoctoral project on the formation of water droplets in a hydrophobic polymer, polydimethylsiloxane (PDMS). I quantified and characterized the nucleation sites of microdroplets within the material, whose concentration can be controlled by adding sodium chloride or glycerol to the water [Pingulkar et al., Soft Matter, 2024]. These phenomena are mapped at the microscopic scale by interferometry and physicochemical analyses. At the macroscopic scale, I measured the evaporation of water through PDMS membranes of different thicknesses and studied the mechanical response of the material by rheology.

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I have a strong interest in teaching physics and in scientific outreach.
My academic background has allowed me to explore fundamental physics, acquire basic knowledge in chemistry, as well as in applied mathematics, particularly in high-performance computing and numerical simulation.