I am a Postdoctoral Fellow at the Mathematics Institute of the University of Tübingen, Germany, where I work with Prof. Andreas Prohl. My research lies at the intersection of stochastic analysis and numerical mathematics, with a particular focus on stochastic partial differential equations (SPDEs), stochastic fluid dynamics and conservation laws, numerical approximation, and stochastic optimal control.

My recent work focuses on higher-order numerical methods for stochastic heat, wave, and Navier–Stokes equations, as well as efficient and implementable algorithms for linear–quadratic stochastic optimal control problems. I also study kinetic and dissipative measure-valued solutions, weak–strong uniqueness principles, invariant measures, and the long-time behavior of stochastic conservation laws and fluid equations. My broader interests include statistical learning and machine learning.

I received my Ph.D. from the Tata Institute of Fundamental Research, Centre for Applicable Mathematics (TIFR-CAM), Bangalore, India, under the supervision of Prof. Ujjwal Koley. My doctoral thesis, titled “On kinetic and measure-valued solutions to fluid flow equations,” focused on analytical and numerical aspects of stochastic fluid equations.

I obtained my M.Sc. in Mathematics from TIFR-CAM  and my B.Sc. (Honours) in Mathematics from Deen Dayal Upadhyaya College, University of Delhi.

My CV is available here.