Marcelo Hartmann
Scholar

Marcelo Hartmann

Google Scholar ID: yWVwNwMAAAAJ
University of Helsinki
Bayesian StatisticsGaussian process modelsQuantitative ecologyMachine-learningdata-centric
Citations & Impact
All-time
Citations
300
 
H-index
8
 
i10-index
8
 
Publications
20
 
Co-authors
28
list available
Resume (English only)
Academic Achievements
  • Published papers such as 'Stochastic variance-reduced Gaussian variational inference on the Bures-Wasserstein manifold' (ICLR 2025), 'Riemannian Laplace approximation with Fisher metric' (AISTATS 2024); Awarded the prestigious Academic Research Fellow grant; Reviewer for AISTATS 2026; Invited speaker at multiple international conferences.
Research Experience
  • Academic Research Fellow at the Department of Computer Science, University of Helsinki; Postdoctoral Research Fellow at the same institution, working alongside the Finnish Center for Artificial Intelligence; Conducted a short research visit at TU University Hamburg, Germany, Department of Computer Science.
Education
  • PhD in Statistics from the Department of Mathematics and Statistics at the University of Helsinki; Master's degree in Statistics from the Interinstitutional Graduate Program in Statistics UFSCar-USP (Brazil).
Background
  • An Academic Research Fellow, with research interests in developing computational inference methods grounded in Riemannian and information geometry, solutions to practical challenges of Bayesian statistical inference and machine learning, and Gaussian process regression along with its multivariate extension.
Miscellany
  • Personal interests not explicitly mentioned.