PHD Fellow at Københavns Universitet - University of Copenhagen
Copenhagen, Capital Region of Denmark
Join Prog.AI to see contacts
Join Prog.AI to see contacts
Summary
👤
Senior
🎓
Top School
Panagiotis Antoniadis is an ELLIS PhD Fellow in Machine Learning at the University of Copenhagen with eight years of experience applying deep learning across biology and neurotech. He previously built generative models for single-cell transcriptomics and deep neural networks for EEG-based brain-computer interfaces at DeepLab, blending probabilistic modeling with applied signal processing. His background includes a 5-year integrated BSc/MSc in Electrical and Computer Engineering from NTUA and thesis work in visual emotion recognition, reflecting a strong foundation in computer vision. Alongside research, he has contributed technical writing and hiring leadership at Baeldung, showing an ability to communicate complex ML ideas to broader audiences. Notably, his trajectory bridges academic rigor and product-minded engineering, making him adept at turning cutting-edge models into usable tools for biological and neural data.
8 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD Machine Learning, Doctor of Philosophy - PhD Machine Learning at Københavns Universitet - University of Copenhagen
5-year joint BSc & MSc degree Electrical and Computer Engineering, 5-year joint BSc & MSc degree Electrical and Computer Engineering at National Technical University of Athens
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Panagiotis Antoniadis - PHD Fellow at Københavns Universitet - University of Copenhagen