Toni Karvonen

MAIN — PUBLICATIONS — PRESENTATIONS — CV

Previous positions

• 2021–2024 — Academy Postdoctoral Researcher in the Department of Mathematics and Statistics at the University of Helsinki.
• 2020–2021 — Research Fellow on the Programme for Data-Centric Engineering at the Alan Turing Institute in London with Chris Oates and Mark Girolami.
• 2016–2020 — Doctoral Student and Postdoctoral Researcher supervised by Simo Särkkä in the Department of Electrical Engineering and Automation at Aalto University.

Education

• 2019 — Doctor of Science (Technology), Department of Electrical Engineering and Automation, Aalto University. Thesis: Kernel-Based and Bayesian Methods for Numerical Integration. I was supervised by Simo Särkkä.
• 2015 — Master of Science in applied mathematics, Department of Mathematics and Statistics, University of Helsinki. Thesis: Stability of Linear and Non-Linear Kalman Filters.
• 2015 — Bachelor of Science in mathematics, Department of Mathematics and Statistics, University of Helsinki. Thesis: Mittojen disintegraatio.

Major funding as principal investigator

• 2025–2029 — Inference and approximation under misspecification by Research Council of Finland (€843,173).
• 2021–2024 — Scalable, adaptive and reliable probabilistic integration by Research Council of Finland (€242,980).

Conferences and workshops

• 2026 — ProbNum 2026 at LUT University, Lappeenranta, Finland.
• 2026 — Session Gaussian processes for uncertainty quantification at SIAM Conference on Uncertainty Quantification 2026 in Minneapolis, Minnesota, USA.
• 2025 — FAME Connect & Collaborate at Aalto University, Espoo, Finland.
• 2025 — Session Approximation and inference with kernels at ENUMATH 2025, Heidelberg, Germany.
• 2024 — Session Numerical analysis at Finnish Mathematical Days 2024, Aalto University, Espoo, Finland.
• 2021 — Session Probabilistic numerical methods at the 13th International Conference on Monte Carlo Methods and Applications (online).
• 2020 — Session Probabilistic numerical and kernel-based methods at the 4th International Conference in Monte Carlo & Quasi-Monte Carlo Methods in Scientific Computing in Oxford, UK.
• 2019 — Session Probabilistic numerical methods at the 12th International Conference on Monte Carlo Methods and Applications in Sydney, Australia.
• 2019 — Session Probabilistic numerical and kernel-based methods at Approximation Theory 16 in Nashville, Tennessee, USA.