Since 07/2019	Researcher at the Machine Learning and Data Analytics Lab Friedrich-Alexander University of Erlangen-Nuremberg
Since 07/2019	Coach of the Innovation Lab for Wearable and Ubiquitous Computing Friedrich-Alexander University of Erlangen-Nuremberg
04/2016 – 12/2018	Research assistant at the Chair of Applied Physics Friedrich-Alexander University of Erlangen-Nuremberg
10/2012 – 09/2015	Masters Degree in Physics Friedrich-Alexander-University Erlangen-Nuremberg Master Thesis : “Fabrication and Investigation of Homodyne Detectors for Terahertz Radiation“
10/2011 – 04/2017	Study program for High school teaching in Math and Physics Friedrich-Alexander-University Erlangen-Nuremberg
10/2011 – 10/2015	Bachelors Degree in Math and Physics Friedrich-Alexander-University Erlangen-Nuremberg Bachelor Thesis: “Entwicklung und Aufbau eines Experiments für das physikalische Praktikum für Fortgeschrittene: Transporteigenschaften von Ladungsträgern in Halbleitern – Hall-Effekt”

Courses

Innovation Lab for Wearable and Ubiquitous Computing

Material

On 01.12.2020 I gave a workshop with the title Deep Learning together with my colleague Stefan Seegerer. Within this work we created a cheatsheet for Pytorch, which turned out to be pretty helpful:

pytorch-cheatsheet-DE

pytorch-cheatsheet-EN

Year	Type	Student	Titel
2021	Bachelor Thesis	Ameni Gatri	Influence of gait test length on classification of mobility impairment in Parkinson’s Disease
2021	Master Thesis	Wenyu Zhang	Classification of localized defects on silicon carbide (SiC) wafers using domain adaptation techniques
2020	Bachelor Thesis	Daniel Seitz	Unsupervised learning for the classification of process steps in spatial-temporal data