Pedro Da Costa is a Senior Research Scientist with eight years of experience applying advanced generative models to synthetic media and neuroscience problems. He holds a PhD in Machine Learning applied to Neurosciences and has published work on transformer-based normative modelling, latent diffusion for brain imaging, and Bayesian optimization for BCI design. At Synthesia he was a core contributor to avatar and AI dubbing systems (EXPRESS architectures and Selfie Avatars), and now continues building production-ready ML at Hologen AI. He combines deep research expertise with production skills in PyTorch, Docker, cloud services and Unity, routinely bridging experimental models and deployable systems. Unusually for an ML researcher, he also has hands-on experience building experimental hardware and setups from his early PhD assistant roles, giving him a practical edge in applied neurotech. Based in London, he focuses on generative modelling for anomaly detection and synthetic media, translating cutting-edge research into real-world products.
8 years of coding experience
7 years of employment as a software developer
Master Thesis at C3NL, Hammersmith Campus, Application of Recurrent Neural Networks for modeling cognitive dimensions, Master Thesis at C3NL, Hammersmith Campus, Application of Recurrent Neural Networks for modeling cognitive dimensions at Imperial College London
Doctor of Philosophy - PhD, Machine Learning applied to Neurosciences, Doctor of Philosophy - PhD, Machine Learning applied to Neurosciences at University of London
Bachelor of Science (BSc), Engenharia Biomédica/Médica, Bachelor of Science (BSc), Engenharia Biomédica/Médica at Universidade Nova de Lisboa
Master of Science (MSc), Biomedical/Medical Engineering, Master of Science (MSc), Biomedical/Medical Engineering at Instituto Superior Técnico
Master's degree, Biomedical Engineering, Erasmus+, Master's degree, Biomedical Engineering, Erasmus+ at İstanbul Teknik Üniversitesi
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Pedro Da Costa - Senior Research Scientist at Hologen AI