Thomas Deppisch
Gothenburg, Västra Götaland County, Finland
Summary
👤
Senior🎓
Top SchoolThomas Deppisch is a doctoral researcher in audio signal processing based in Gothenburg with nine years of experience applying advanced signal-processing methods to spatial and binaural audio. Currently pursuing a PhD at Chalmers, he blends academic rigor with industry experience from Meta internships in augmented capture and audio presence and engineering roles at Austrian Audio and sonible. His work focuses on perceptually informed algorithms for spatial rendering and capture, bridging research prototypes and product-ready audio software. Known for translating theoretical insights into practical implementations, he often pairs signal-processing math with real-world measurement and rendering systems.
9 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Electrical Engineering / Audio Engineering, with distinction, Master of Science - MS, Electrical Engineering / Audio Engineering, with distinction at Technische Universität Graz
Github Skills (28)
fftw10
plug10
plugin10
juce10
audio-effect10
threshold9
vst9
python9
pulse9
audiounit9
pulseaudio9
mobile-application9
audio9
cpp9
least-squares8
Programming languages (6)
Github contributions (5)
thomasdeppisch/eMagLS
Jul 2021 - Jul 2022
The End-to-End Magnitude Least Squares Binaural Renderer for Spherical Microphone Array Signals
Contributions:1 release, 15 reviews, 23 commits in 1 year
least-squares
thomasdeppisch/videojs-xr
Mar 2020 - Aug 2022
Plugin for using WebXR with videojs, based on videojs-vr
Contributions:4 PRs, 31 pushes, 2 branches in 2 years 6 months
videojswebxr
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