Jonas Latz
Scholar

Jonas Latz

Google Scholar ID: OXMVfvUAAAAJ
University of Manchester
Bayesian InferenceNumerical AnalysisData ScienceUncertainty QuantificationMachine Learning
Citations & Impact
All-time
Citations
678
 
H-index
12
 
i10-index
13
 
Publications
20
 
Co-authors
16
list available
Resume (English only)
Academic Achievements
  • 1. September 2025: 'Losing Momentum in Continuous-time Stochastic Optimisation' published in JMLR; 2. June 2025: New preprint on length scale-informed sparse grids released; 3. The Philosophical Transactions of the Royal Society A published a theme issue on ‘Partial differential equations in data science’; 4. April 2025: Simon Urbainczyk won the SIAM Student Poster Prize; 5. March 2025: Article on 'Bayesian adversarial robustness' published in the European Journal of Applied Mathematics.
Research Experience
  • Currently a Lecturer in Applied Mathematics at the University of Manchester; involved in research areas including Bayesian and deterministic inverse problems, hierarchical random fields, the theoretical foundations of stochastic optimisation, efficient computational methods in data science and uncertainty quantification, etc.
Education
  • No specific educational background information provided
Background
  • Research Interests: Statistics and probability, numerical analysis, computational science. Focuses on methods that can be used to blend mathematical models with observational data. Recently, he has been studying Bayesian and deterministic inverse problems, hierarchical random fields, the theoretical foundations of stochastic optimisation, efficient computational methods in data science and uncertainty quantification, and related problems.
Miscellany
  • Personal interests: Not explicitly mentioned