Scholar
Anirbit Mukherjee
Google Scholar ID: V32KjH0AAAAJ
Department of Computer Science, The University of Manchester
Citations & Impact
Citations
1,013
H-index
7
i10-index
5
Publications
20
Co-authors
19
list available
Publications
Resume (English only)
Academic Achievements
- Engaged in various research projects and maintains ongoing collaborations with several graduate and undergraduate students; influenced by books from Jurgen Jost, Gregory Naber, and S. Kumaresan; welcomed Sebastien Andre-Sloan as the second PhD student in the group.
Research Experience
- Postdoctoral researcher at Wharton, Statistics with Weijie Su until summer 2021; collaborated on papers with Trac D. Tran, Raman Arora, and Dan Roy during 2016-2018; executed multiple projects on deep-learning theory with Sayar Karmakar between winter 2020 and early 2022; recently collaborated with Theodore Papamarkou.
Education
- Ph.D. in Applied Mathematics from the Department of Applied Mathematics and Statistics, Johns Hopkins University, under the supervision of Amitabh Basu; doctoral committee included Mauro Maggioni, Jeremias Sulam, Trac Tran, Laurent Younes, and Jason Eisner.
Background
- Currently a Lecturer (Assistant Professor) in Computer Science at The University of Manchester, deeply intrigued by how deep learning and neural networks seem to lead us to exciting new questions about differential equations and functional analysis. Aspires to unravel these emerging questions in mathematics.
Miscellany
- In addition to academic pursuits, has an artistic background and was originally trained in Quantum Field Theory; co-PI on a UKRI AI Center for Doctoral Training grant, themed 'Decision-Making in Complex Systems'; member of the ELLIS Society and The Centre for A.I. Fundamentals.
