Summary
Stathi Fotiadis is a Senior Research Scientist based in Mountain View with 12 years of experience at the intersection of machine learning, physics, and applied AI. Currently at ByteDance after internships at NVIDIA and MediaTek, he focuses on diffusion models for image generation, editing, super-resolution and multimodal vision-language systems. His PhD work at Imperial College centers on causal modelling of dynamical systems, bringing rigorous physical priors to generative modeling and weather downscaling projects. Early career roles across industry and academia—from game analytics at King to fraud detection in banking and robotics research—give him a rare blend of production engineering and research depth. He is skilled at accelerating diffusion methods and learned optimizers, translating advanced ML research into practical, scalable solutions. An educator-turned-researcher, he combines extensive hands-on system building with a strong record of mentoring and teaching.
12 years of coding experience
9 years of employment as a software developer
MSc, Artificial Intelligence, Distinction, MSc, Artificial Intelligence, Distinction at The University of Edinburgh
Doctor of Philosophy - PhD, Causal Modelling of Dynamical Systems, Doctor of Philosophy - PhD, Causal Modelling of Dynamical Systems at Imperial College London
Bachelor's Degree, Computer Science, 8.54/10 (First of Class), Bachelor's Degree, Computer Science, 8.54/10 (First of Class) at University of Ioannina
Spanish, English, Greek