Toni Karvonen

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.

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.

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).

2025 — Session Approximation and inference with kernels at ENUMATH 2025, Heidelberg, Germany. Organised with Gabriele Santin and Tizian Wenzel.
2024 — Session Numerical analysis at Finnish Mathematical Days 2024, Aalto University, Espoo, Finland. Organised with Yuya Suzuki.
2021 — Session Probabilistic numerical methods at the 13th International Conference on Monte Carlo Methods and Applications (online). Organised with Jon Cockayne.
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. Organised with Jon Cockayne.
2019 — Session Probabilistic numerical methods at the 12th International Conference on Monte Carlo Methods and Applications in Sydney, Australia. Organised with Jon Cockayne.
2019 — Session Probabilistic numerical and kernel-based methods at Approximation Theory 16 in Nashville, Tennessee, USA.