Career
- 09/17 - date: Research Fellow, University of Cambridge, UK
- 03/16 - 08/17: Research Fellow, University of Warwick, UK
- 09/11 - 02/16: PhD student, University of Helsinki, Finland
Research
Hanne is a member of the Department of Applied Mathematics and Theoretical Physics as part of the Cantab Capital Institute for the Mathematics of Information. Her current research interests are (statistical) inverse problems, regularisation and uncertainty quantification.
Teaching
I am teaching Bayesian inverse problems in Lent term 2019.
Selected Publications
- M. Giordano, H. Kekkonen, Bernstein-von Mises theorems and uncertainty quantification for linear inverse problems, arXiv:1811.04058, 2018
- M. Burger, T. Helin and H. Kekkonen, Large Noise in Variational Regularization, Transactions of Mathematics and Its Applications, 2018
- H. Kekkonen, M. Lassas and S. Siltanen, Posterior consistency and convergence rates for Bayesian inversion with hypoelliptic operators, Inverse Problems, 2016
- H. Kekkonen, M. Lassas and S. Siltanen, Analysis of regularized inversion of data corrupted by white Gaussian noise, Inverse Problems, 2014.
Publications
Corrigendum: Analysis of regularized inversion of data corrupted by white Gaussian noise (2014Inverse Problems30045009)
– Inverse Problems
(2016)
32,
099501
Posterior consistency and convergence rates for Bayesian inversion with hypoelliptic operators
– Inverse Problems
(2016)
32,
085005
Analysis of regularized inversion of data corrupted by white Gaussian noise
– Inverse Problems
(2014)
30,
045009
Large Noise in Variational Regularization
Bernstein-von Mises theorems and uncertainty quantification for linear
inverse problems