Subhajit Jana

Subhajit Jana is a Lecturer in Number Theory in the Department of Algebra and Number Theory at the School of Mathematical Sciences, Queen Mary University of London, a position he has held since September 2022. He is affiliated with the Centre for Combinatorics, Algebra and Number Theory and actively contributes to research and teaching in analytic number theory and automorphic forms.

• Queen Mary University of London – Lecturer in Number Theory (2022–Present)
• Max Planck Institute for Mathematics, Bonn – Postdoctoral Fellow (2020–2022)
• ETH Zurich – Ph.D. in Mathematics (2020)
• University of British Columbia – M.Sc. (2015)
• Indian Statistical Institute – B.Math. (2013)

His research lies at the intersection of analytic number theory, automorphic forms, and representation theory. He focuses on deep problems such as subconvexity bounds for L-functions, spectral theory of automorphic forms, quantum unique ergodicity, equidistribution on arithmetic manifolds, and Diophantine approximation. His work combines analytic techniques with algebraic and dynamical structures arising in homogeneous spaces and automorphic representations.

The 15 most recent publications reflect a consistent and high-impact research trajectory centered on L-functions, automorphic forms, and spectral analysis. Key themes include moment estimates, equidistribution, sup-norm bounds, and spectral reciprocity, often employing advanced tools such as the relative trace formula, analytic newvectors, and harmonic analysis on symmetric spaces. These works appear in leading journals like Duke Mathematical Journal, Advances in Mathematics, and Forum of Mathematics, Sigma.

Subhajit Jana currently holds a research grant from the Engineering and Physical Sciences Research Council (EPSRC) titled "Moments of higher-rank L-functions" (2025–2027), valued at £188,990. He has advised or collaborated with several researchers, though no formal advisees are listed. He teaches undergraduate courses including Number Theory and Differential and Integral Analysis.

He is a member of the research community at Queen Mary and participates in seminars and collaborative research within the School of Mathematical Sciences and the Centre for Combinatorics, Algebra and Number Theory.