Upanshu Sharma

Dr. Upanshu Sharma is a Lecturer at the School of Mathematics & Statistics, UNSW Sydney since 2023. His research spans partial differential equations, probability theory, and computational statistical mechanics, focusing on coarse-graining of stochastic dynamics, large deviations, and molecular dynamics sampling algorithms.

• 2023–Present: Lecturer, School of Mathematics & Statistics, UNSW Sydney
• 2021–2022: Humboldt Research Fellow, Computational Statistical and Biological Physics Group (FU Berlin) & Stochastics and Applications Group (BTU Cottbus-Senftenberg)
• 2019–2020: PostDoc, Institute of Mathematics (FU Berlin)
• 2017–2019: PostDoc, CERMICS (École des Ponts ParisTech)
• Education: PhD in Mathematics (2017), CASA (TU Eindhoven)

Research Themes: Dr. Sharma's work bridges mathematical modeling and physical applications through rigorous analysis of stochastic systems. Key areas include variational structures for non-equilibrium systems, quantitative coarse-graining in multi-scale dynamics, and sampling algorithms for molecular simulations.

Publication Trends: Recent articles (2024–2022) emphasize Markov chain analysis, non-equilibrium thermodynamics, and Hamiltonian stochastic systems, with sub-field coverage in error quantification, parallel computing, and hyperbolic PDEs.

Scientific Recognition:

• Humboldt Research Fellowship (2021–2022)