Dr. Nils Strodthoff
Nils Strodthoff joined the machine learning group at Fraunhofer Heinrich Hertz Institute as a senior research scientist in 2017. He studied physics at Georg-August-Universität Göttingen and Imperial College London (MSc 2009) from 2005 to 2009 and received the Dr. rer. nat. degree with distinction (summa cum laude) from Technische Universität Darmstadt in 2012. Focussing on non-perturbative quantum field theory, he held postdoctoral appointments at Ruprecht-Karls-Universität Heidelberg from 2012 to 2015 and Lawrence Berkeley National Laboratory, USA from 2016-2017 funded by a DFG research fellowship. He authored more than 35 peer-reviewed articles, presented at numerous international conferences, received scholarships from the Deutsche Studienstiftung and HGS-HIRe and was awarded the HGS-HIRe Excellence Award in 2011. His research interests cover self-supervised learning and quality aspect for machine learning algorithms as well as a broad range of applications ranging from biomedical signal analysis over physics to communications.
- self-supervised learning
- quality criteria for machine learning (ML) algorithms
- biomedical data analysis
- ML for physics