Spyridon Thermos
Founder at Moverse
Greece
Summary
👤
Senior🎓
Top SchoolSpyridon Thermos is a product-focused computer scientist and founder leading Moverse, where he combines research-grade expertise in human body motion digitization with product and business development. With an 11-year career that spans a PhD in Electrical & Computer Engineering and postdoctoral research at the University of Edinburgh, he has designed models for realistic and diverse synthetic motion data and moved those capabilities toward commercial productization. He has taught and researched across European universities and research institutes, bridging academic rigor with pragmatic product delivery. Known for translating advanced generative and motion-capture techniques into usable datasets and tools, he uniquely blends hands-on modeling experience with customer and market thinking. Based in Greece, he continues to operate at the intersection of research science and startup execution, often wearing both the researcher and product-leader hats.
11 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Vision and AI, Doctor of Philosophy (Ph.D.), Computer Vision and AI at University of Thessaly
English, Greek
Github Skills (56)
depth-estimation10
convolutional-neural-networks10
hydra10
autoencoder10
human-pose-estimation10
artificial-intelligence9
data-driven9
reproducible-research9
pytorch9
denoising9
self-supervised-learning9
medical-image-analysis9
data-augmentation9
computer-vision9
classification8
Programming languages (3)
Github contributions (5)
spthermo/spthermo.github.io
Sep 2019 - Jan 2025
Contributions:201 pushes, 1 branch in 5 years 4 months
vios-s/disentanglement_tutorial
Jul 2021 - Sep 2021
This repository summarizes the material gathered for the tutorial on learning disentangled representations in the imaging domain, and serves as a roadmap for the disentanglement aficionados.
Contributions:32 commits, 30 pushes, 1 branch in 1 month
imagingdisentanglementdisentangled-representationscontent-style-disentanglementcomputer-vision-application
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