Career
2020-currently: PhD student in Mathematics of Information, University of Cambridge, United Kingdom
2018-2020: MSc. in Applied Mathematics and Scientific Computing, Delft University of Technology, The Netherlands, Berlin University of Technology, Germany
2014-2017: BSc. in Applied Mathematics and Applied Physics, Delft University of Technology, The Netherlands
Research
I am particularly interested in the intersection of inverse problems, optimization and differential geometry with applications to imaging. Currently, I am working on several inverse problems in Cryo-EM microscopy in collaboration with the Laboratory for Molecular Biology (LMB) in Cambridge. In Cryo-EM part of the reconstruction problem often comes down (or can be written as) a manifold-valued optimisation problem. Already in the most basic cases one needs to retrieve the optimal SO(3)-valued orientations of the projections in order to reconstruct the potential of the macro-molecule of interest. But also in general, non-linear aspects of imaging problems often have some underlying manifold structure which could be exploited.
