Mateusz B. Majka
Scholar

Mateusz B. Majka

Google Scholar ID: Hl5ZzwkAAAAJ
Heriot-Watt University
Stochastic AnalysisProbability TheoryOptimizationOptimal TransportMachine Learning
Citations & Impact
All-time
Citations
350
 
H-index
9
 
i10-index
8
 
Publications
19
 
Co-authors
0
 
Contact
Resume (English only)
Academic Achievements
  • PhD students include Linshan Liu (September 2021 - present) and Razvan-Andrei Lascu (graduated 2025; currently a postdoc at RIKEN, Tokyo, Japan). Specific publications are not detailed here.
Research Experience
  • From August 2018 to February 2020, a Research Fellow at the Department of Statistics of the University of Warwick; from June 2017 to July 2018, a Research Associate at the Department of Mathematics of King's College London; currently an Assistant Professor in Stochastics at the School of Mathematical and Computer Sciences of Heriot-Watt University in Edinburgh.
Education
  • Completed PhD in 2017 at the Institute for Applied Mathematics at the University of Bonn in Germany, supervised by Prof. Andreas Eberle.
Background
  • Research interests span across several areas: probability theory, stochastic analysis, numerical analysis, optimization, optimal transport, computational statistics and machine learning. Topics of particular interest include: stochastic differential equations, mathematical foundations of machine learning (mean-field optimization, optimal transport and gradient flows, game theory, stochastic gradient algorithms), Lévy processes, interacting particle systems and their mean-field limits, ergodicity of Markov processes, Monte Carlo methods (sampling via Markov Chain Monte Carlo (MCMC), Multi-Level Monte Carlo).
Miscellany
  • If interested in pursuing a PhD under his supervision, feel free to get in touch via email.
Co-authors
0 total
Co-authors: 0 (list not available)