Maneesh Singh

Maneesh Singh is a Research Fellow in the Department of Mathematics at Imperial College London, part of the Faculty of Natural Sciences. His research focuses on computational mathematics, scientific computing, and data assimilation, with a particular emphasis on developing computational methodologies for solving partial differential equations (PDEs) and advancing numerical weather prediction models. He has held postdoctoral positions at the Indian Institute of Science Bangalore (2019–2021) and the University of Konstanz (2021–2022).

Education includes a PhD in Mathematics from the Indian Institute of Technology Guwahati, an MSc in Applied Mathematics from the University of Hyderabad, and a BA(Hons) in Mathematics from Banaras Hindu University.

His research interests span numerical analysis, computational methods for stochastic systems, and optimization algorithms applied to complex systems. Recent work includes advancements in particle filtering frameworks for stochastic PDEs and robust computational techniques for singularly perturbed systems.

His publications reflect a strong focus on PDEs, data assimilation, and numerical methods, with contributions to operator-splitting techniques, finite element methods, and hybrid finite difference schemes.