Michail Doukas is a research-driven AI engineer with eight years of experience building computer vision and machine learning systems, currently advancing creative tools as a Member of Technical Staff at Runway. He holds a PhD in Computing from Imperial College London and an MSc with distinction in Machine Learning, combining deep academic rigor with hands-on R&D at Huawei and startups like Facesoft. Michail’s work spans research prototyping and product-oriented model deployment, bridging novel algorithms with real-world creative applications. Based in Ealing, he brings a blend of teaching experience and industry research, suggesting strong communication skills alongside technical leadership. An under-the-radar strength is his sustained focus on applied computer vision across both commercial and academic settings, making him adept at translating complex models into usable features.
8 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Computing, Doctor of Philosophy - PhD, Computing at Imperial College London
Master of Engineering - MEng, Computer Engineering, Master of Engineering - MEng, Computer Engineering at National Technical University of Athens
PyTorch implementation for Head2Head and Head2Head++. It can be used to fully transfer the head pose, facial expression and eye movements from a source video to a target identity.
Contributions:106 commits, 16 pushes, 4 comments in 7 months
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Michail Doukas - Member Of Technical Staff at Runway