About

Hi, I’m Johannes! 🙂

I am currently a PhD student in the Computer Vision & Learning group at the University of Munich, under the supervision of Prof. Björn Ommer, where I am working on diffusion and flow models for efficient and scalable image synthesis.

I started my academic journey with an undergraduate study in Psychology at LMU Munich. Alongside this, I started a second degree in Computer Science, where I discovered my passion for machine & deep learning.

During my master’s studies in Intelligent Interactive Systems at UPF in Barcelona, I mainly followed the computer vision track. In theoretical lectures and practical lab sessions I was able to gain a solid and deep understanding of machine & deep learning algorithms and their application, especially in the computer vision domain.

After completing my master’s, I worked on healthcare-related machine learning in the Trustworthy AI division of the Fraunhofer Institute of Cognitive Systems. At the same time, I interned at the Computer Vision & Learning group at LMU Munich, where I worked on video diffusion models for probabilistic weather nowcasting. This research eventually led me to begin my PhD in March 2023.

Outside of my academic pursuits, I enjoy cycling 🚲 and hiking in the mountains ⛰️. 🙂

Research

Education

M. Sc. Intelligent Interactive Systems, University Pompeu Fabra, Barcelona

B. Sc. Computer Science, Ludwig-Maximilians-University, Munich

B. Sc. Psychology, Ludwig-Maximilians-University, Munich

Work Experience

03/2023 – now: PhD Student, Computer Vision & Learning Group, LMU, Munich

05/2022 – 02/2023: Part-Time Internship, Computer Vision & Learning Group, LMU, Munich

12/2021 – 02/2023: Research Assistant, Division Trustworthy AI, Fraunhofer IKS, Munich

10/2018 – 12/2020: Research Assistant, Department of Clinical Neuropsychology, LMU, Munich

Interests

• Diffusion & Flow Models
• Robotics
• Neuroscience