Prashant Singh

Prashant Singh is a Postdoctoral Researcher (Researcher) in the Biocomplexity group at the Niels Bohr Institute, University of Copenhagen. His work focuses on theoretical and statistical physics with applications in biological systems, leveraging analytical methods to solve complex non-equilibrium problems.

His research spans statistical physics, non-equilibrium thermodynamics, and theoretical biophysics, investigating phenomena like active matter phase transitions, positional information in boundary-driven systems, and stochastic thermodynamics. Key interests include diffusion with resetting, entropy production inference, and reaction-diffusion modeling, often revealing fundamental trade-offs in biological information processing and thermodynamic efficiency.

Analysis of his 2024-2025 publications shows a cohesive focus on exact solutions for non-equilibrium systems, particularly single-file diffusion under resetting and active matter with long-range interactions. Recurring themes include cost-time optimization, boundary effects on information transmission, and the thermodynamic constraints of biological computation.

No information is available regarding student advising or research grants.

He is embedded within the Biocomplexity research group at the Niels Bohr Institute, which employs theoretical frameworks to study collective dynamics in biological systems, including pattern formation, cellular information processing, and emergent behavior in active matter.