About me

I spent the last few years at the intersection between academia, research and engineering, with an emphasis on signal processing, deep learning and software engineering. I am passionate about arts, automation of complex behaviour and sparsity. As a programmer, I believe in community-based and collaborative development (e.g. via GitHub, StackOverflow and DockerHub).


Experience



PhD Candidate

May 2022 - Present

IMPRS-IS PhD scholar at the Prof. Hennig Lab (Methods of Machine learning, University of TĂŒbingen, Germany), focused on phase-aware deep learning optimizers.


Co-PI

Jan 2022 - Mar 2023

Co-authored the IAMĂșsica project, an artistic research grant supported by the Institut d’Estudis BaleĂ rics aimed to apply real-time AI technologies for musical analysis. More info here.


Research Contractor

Apr 2022

Contract with the Max-Planck Institut for Empirical Aesthetics (ArtLab) to develop a lightweight, wearable, precise heartbeat timestamping and counting system. F1 detection score above 99.7% (based on Pan-Tompkins) and AUC-ROC >80% for signal quality estimation (custom Kalman filter).


Research Fellow

Sep 2020 - Mar 2022

Work as machine learning research engineer at the AI for Sound research fellowship led by Prof. Mark Plumbley at CVSSP (University of Surrey, UK). Work included participatory studies, supervision of M.Sc. theses, and covering the full lifecycle of AI software on a broad variety of settings.


Research Engineer

Dec 2019 - Present

Member of the research team led by Dr. Julia F. Christensen, focused on 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 to generate synthetic stimuli and extract kinematic features from video and MoCap sequences (see this post for more details).


Research Engineer

Dec 2017 - Apr 2020

Work on the RESIST research grant (ERC) for resilient transport infrastructure to extreme events. Work involved R&D, profiling and maintenance of models for visual detection and measurement of structural defects, as well as interfacing with structural and system engineers.


Undergraduate Research Assistant

Mar 2017 - Aug 2017

Assisting with machine learning research at the Systems Engineering and Computer Vision department.


Undergraduate Teaching Assistant

Oct 2015 - Mar 2016

Leading weekly tutorials for 60+ undergraduate students as part of the Python Programming course led by Prof. Krömker. Work included introducing good software engineering practices, grading, and giving constructive feedback on theoretical and practical exercises.



Education

I have a Diplom in music composition with Prof. Orm Finnendahl 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, with emphasis on programming and machine learning.