Since November I am a PhD candidate under the supervision of Prof. Andreas Geiger. Currently I’m working on deep generative models in collaboration with the ML team of the ETAS GmbH, a subsidiary of Bosch.
Recently published deep generative models have shown great performance on tasks like photo realistic image synthesis, style transfer, domain adaptation or text to image translation. I am particularly interested in extending these models in order to solve complex tasks in computer vision.
Moreover, one of my goals is to figure out how generative models can learn meaningful representations in the latent space.
2014 - 2017 Master of Science in Physics, University of Stuttgart
Emphasis: Nonlinear and Stochastic Dynamics, Thermodynamics
Thesis: “Thermodynamic consistent Approximations of Stochastic Processes with nonadditive Noise”
2011 - 2014 Bachelor of Science in Physics, University of Stuttgart
Thesis: “Colloidal Suspension as a Thermostat of an Hamiltonian System”
2016 Student assistant, II. Institute for Theoretical Physics in Stuttgart
WS 14/15 and SS 15 Teaching assistant, Lab courses
WS 13/14 Teaching assistant, Lecture Experimental Physics I
Our goal is to understand the principles of Perception, Action and Learning in autonomous systems that successfully interact with complex environments and to use this understanding to design future systems