International Conference on Artificial Intelligence and Statistics · 2023
Cited
3
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.