About me

I am an Academic Reseach Fellow by the Reseach Council of Finland (RCF) at the Department of Computer Science, University of Helsinki. Prior to that I was a Postdoctoral Research Fellow at the same institution, working alongside the Finnish Center for Artificial Intelligence where I independently developed methods of prior predictive elicitation and computationally efficient inference methods based on notions of Riemannian geometry. I earned my PhD in Statistics with distinction from the Department of Mathematics and Statistics at the University of Helsinki. I am a member of the European Laboratory for Learning and Intelligent System and also hold a Master's degree in Statistics by the Interinstitutional Graduate Program in Statistics UFSCar-USP (Brazil), a partnership between the Department of Statistics at the Federal University of São Carlos (UFSCar) and the Department of Applied Mathematics and Statistics at the Institute of Mathematical and Computer Sciences of the University of São Paulo (ICMC-USP).


My research has been focusing on developing innovative computational inference methods grounded in the mathematical frameworks of Riemannian geometry and information geometry. Besides that I aim to bring fourth solutions to practical challenges of Bayesian statistical inference and machine-learning, The main goal in this direction is to make as easy as possible for practitioner to tell us what they believe about a phenomena in probabilistic terms and transform their belief into probabilistic models, whilst at the same time reducing as much as possible the degree of knowledge they need to have about probability theory to do so. I am also interested in Gaussian process regression and its multivariate extension both from a theoretical perspective and applied direction.

News

[8.2025] I will be a Reviewer for AISTATS 2026
[8.2025] I was a reviewer for the Journal of American Statistical Association
[7.2025] I was awarded the prestigious Academic Research Fellow grant (accepted)
[7.2025] I was offered an associate professorship position in Aalborg (declined)
[7.2025] I was offered an assistant tenure-track professorship position in Aalborg (declined)
[5.2025] I am in a short research visit at TU University Hamburg, Germany, Department of Computer Science
[5.2025] Invited talk at Department of Computer Science, TU University Hamburg, Germany
[4.2025] Submitted paper to NEURIPS with Yu, Søren, Georgios and Arto
[3.2025] Invited talk at the Department of Mathematical Sciences, Aalborg university, Denmark
[2.2025] Accepted paper "Stochastic variance-reduced Gaussian variational inference on the Bures-Wasserstein manifold" with Luu, Yu, Bernardo, Arto, ICLR 2025.

Selected publications

› Learning geometry and topology via multi-chart flows . ArXiv.
› Stochastic variance-reduced Gaussian variational inference on the Bures-Wasserstein manifold . ICLR (2025)
› Approximate natural gradient in Gaussian processes with non-log-concave likelihoods . ICML and ELLIS Workshop on Geometry-grounded Representation Learning and Generative Modeling (2024)
› Riemannian Laplace approximation with Fisher metric . AISTATS (2024)
› Lagrangian manifold Monte Carlo on Monge Patches . AISTATS (2022)
› Flexible Prior Elicitation via the Prior Predictive distribution . UAI (2020)
› Prior specification via prior predictive matching: Poisson matrix factorization and beyond . JMLR (2023)
› Laplace approximation and the natural gradient for Gaussian process regression with the heteroscedastic Student-t model . Statistics and Computing (2019)
Additive multivariate Gaussian process models for joint species distribution models and heteregenous data . Bayesian analysis (2020).
› Gaussian processs framework for temporal dependence and discrepancy functions in Ricker-type population growth models . Annals of Applied Statistics (2017).
› Approximate Bayesian inference in multivariate Gaussian process regression and applications to species distribution models . University of Helsinki (2019).

Complete list of publications

Check it out my Google scholar
My Erdös number is 4 and my Einstein number is 6.

Dr. Marcelo Hartmann
University of Helsinki. Department of Computer Science.
Pietari Kalmin katu 5, 00560 Helsinki.
Email : name.surname@helsinki.fi (replace "name" with marcelo and "surname" with hartmann)

Collaborators

Mark Girolami - University of Cambridge and the Alan Turing Institute, United Kingdom
Paul Bürkner - TU Dortmund University, Germany
Søren Hauberg - DTU Compute, Technical University of Denmark
Theo Damoulas - University of Warwick, United Kingdom
Georgios Arvanitidis - DTU Compute, Technical University of Denmark
Diego Mesquita - Getulio Vargas Foundation, Brazil
Luu Hoang Phuc Hau - Nanyang Technological University, Singapore
Pierre-Alexandre Murena - TU Hamburg University, Germany
Harsha Tetali - University of Helsinki, Helsinki
Shayan Gharib - University of Helsinki, Helsinki