Georgios (George) Mentzelopoulos
Logo ML Research Scientist @ Meta
TL;DR

I am a Machine Learning Research Scientist @ Meta. I am working on Generative AI within Meta's Superintelligence Lab (MSL), currently focusing on image-to-video generation, one of the most exciting frontiers in multimodal AI. Previously, I obtained by PhD in Bioengineering at the University of Pennsylvania, advised by Dr. Flavia Vitale, in the Center for Neuroengineering and Therapeutics, where I developed scalable methods for neural decoding at different levels of neuronal resolution (EEG, sEEG/ECoG, microelectrodes).

Throughout the years, I have obtained extensive experience developing machine/deep learning frameworks with applications in genAI and brain computer interfaces. My work has been published at top-tier AI conferences (NeurIPS) and journals (Science Translational Medicine).


Education
  • University of Pennsylvania
    University of Pennsylvania
    PhD Bioengineering 🎓
    MSE Robotics 🎓
    Sep. 2020 - Sep. 2025
  • University of Michigan
    University of Michigan
    BSE Electrical Engineering 🎓
    BSE Biomedical Engineering 🎓
    Sep. 2016 - Jun. 2020
Experience
  • Meta
    Meta
    Machine Learning Research Scientist
    Oct. 2025 - present
  • Neuralink
    Neuralink
    Data Science Intern
    Jun. 2022 - Nov. 2022
News
2025
Our paper "A Scalable, Causal, and Energy Efficient Framework for Neural Decoding with Spiking Neural Networks" has been accepted for publication @ NeurIPS 2025 🎉. See you in San Diego 🌴 🌞 🌊.
Sep 17
I successfully defendend my PhD @ UPenn 🎓 🎉.
Sep 15
2024
Our paper "Neural decoding from stereotactic EEG: accounting for electrode variability across subjects" has been accepted for publication @ NeurIPS 2024 🎉. See you in Vancouver 🏔 🍁.
Sep 25
Selected Publications (view all )
A Scalable, Causal, and Energy Efficient Framework for Neural Decoding with Spiking Neural Networks
A Scalable, Causal, and Energy Efficient Framework for Neural Decoding with Spiking Neural Networks

Georgios Mentzelopoulos, Ioannis Asmanis, Konrad P. Kording, Eva L. Dyer, Kostas Daniilidis, Flavia Vitale

Neural Information Processing Systems (NeurIPS) 2025

A Scalable, Causal, and Energy Efficient Framework for Neural Decoding with Spiking Neural Networks

Georgios Mentzelopoulos, Ioannis Asmanis, Konrad P. Kording, Eva L. Dyer, Kostas Daniilidis, Flavia Vitale

Neural Information Processing Systems (NeurIPS) 2025

Neural decoding from stereotactic EEG: accounting for electrode variability across subjects
Neural decoding from stereotactic EEG: accounting for electrode variability across subjects

Georgios Mentzelopoulos, Evangelos Chatzipantazis, Ashwin G Ramayya, Michelle Hedlund, Vivek Buch, Kostas Daniilidis, Konrad Kording, Flavia Vitale

Neural Information Processing Systems (NeurIPS) 2024

Neural decoding from stereotactic EEG: accounting for electrode variability across subjects

Georgios Mentzelopoulos, Evangelos Chatzipantazis, Ashwin G Ramayya, Michelle Hedlund, Vivek Buch, Kostas Daniilidis, Konrad Kording, Flavia Vitale

Neural Information Processing Systems (NeurIPS) 2024

All publications