Toni Karvonen
MAIN — PUBLICATIONS — PRESENTATIONS — CV
I am an Associate Professor in Applied Mathematics and Academy of Finland Research Fellow at Lappeenranta–Lahti University of Technology LUT in Lappeenranta, Finland. I am also associated faculty at ELLIS Institute Finland.
My research focuses on uncertainty quantification and prior misspecification in numerical analysis, statistical modelling, and machine learning. I want to understand how the use of a wrong prior affects the reliability of uncertainty quantification in order to develop robust and data-efficient numerical and statistical methods. I am particularly interested in models and methods that make use of positive-definite kernels, such as Gaussian process regression and radial basis function interpolation. Topics that I currently work on include
- uncertainty quantification and hyperparameter estimation in Gaussian process modelling,
- error analysis for kernel-based approximation,
- information-based complexity,
- theory of reproducing kernel Hilbert spaces,
- probabilistic numerical methods, such as Bayesian quadrature.
See my full list of publications and my Google Scholar profile.
Research group
- Doctoral student Olivier Dondjio
- Doctoral student Subhendu Pramanick
- Doctoral student Eliane Mopo Youmssi (supervised with Tapio Helin)
News
- Nov 2025: I am looking for a postdoc. Apply via the LUT University recruitment portal by 30 November. Don't hesitate to get in touch with me if you have any questions about the position.
- Sep 2025: On 9–11 September 2026 we will organise ProbNum 2026, the 2nd International Conference on Prob abilistic Numerics, at LUT University's Lappeenranta Campus.
- Jun 2025: I have received an Academy Research Fellowship to study misspecification in Gaussian process modelling and kernel-based approximation.
Contact
toni.karvonen@lut.fi
Office:
2412