Charles Nicklas Christensen is a final year PhD student at University of Cambridge. His research is in applying computer vision methods to optical microscopy using deep learning, for instance ML-SIM and ERnet . ML-SIM is a method to train neural networks to reconstruct structured illumination microscopy images based on physically modelled synthetic training data.
Other interests include mathematical modelling, artificial intelligence and deep learning.
Download Charles Christensen’s resumé.
PhD in Computational Imaging, Est. 2022
University of Cambridge
MRes in Image Processing and Sensing, 2018
University of Cambridge
MScEng in Mathematical Modelling and Computation, 2017
Technical University of Denmark
BScEng in Physics and Nanotechnology, 2015
Technical University of Denmark
Part-time involvement in non-profit organisation. Started as a research project doing my MRes and spun out in 2019 with five other PhD students.
Alongside my MSc studies, I worked part-time on a number of consultant jobs including: