About me

I am an IMPRS-IS PhD candidate in the Hennig Lab (Methods of Machine Learning) at the University of Tübingen, Germany. My research focuses on deep learning optimizers.

My past professional experience (since 2017) is predominantly as research engineer in various teams:

  • Member of the research team led by Dr. Julia F. Christensen at the Max Planck Institute for Empirical Aesthetics (Frankfurt am Main, Germany). The group researches the role and effects of dance in different cultures and from different points of view such as emotional, aesthetic or perceptual. My role involves using computers and sensors to generate synthetic stimuli and extract kinematic features from video and MoCap sequences, which are then statistically analyzed by the team and collated with perceptual data gathered from humans.

  • Research Fellow at the Centre for Vision, Speech and Signal Processing (University of Surrey, UK), working in the AI for Sound fellowship led by Prof. Mark Plumbley. My work was centered around interpretability, reproducibility and stability of signal processing pipelines (often involving HPC, deep learning and large amounts of data), focusing on software solutions for research problems related to sound and AI.

  • Research Engineer at the Systems Engineering and Computer Vision department (Goethe University Frankfurt, Germany). My work was at the intersection between research and production, in application-oriented projects involving large amounts of data from different (vision-based) modalities. Work included design, refactoring and profiling of signal processing pipelines, from raw sensor libraries to deep learning models, as well as documentation and interfacing with engineers from institutions across Europe.

I have a Diplom in music composition at the HfMDK Frankfurt am Main with emphasis on live electronics, and a B.Sc. in computer science at the Goethe University Frankfurt am Main. I am passionate about automation of complex behaviour and sparsity. As a programmer, I believe in community-based software development, having contributed to popular projects like PyTorch and scikit-image. Check my GitHub, StackOverflow and DockerHub profiles for some of my contributions.