Sebastian Berns is a creative technologist and PhD researcher in generative machine learning who blends 13 years of experience across AI research, design and full‑stack web development. His work spans published, peer‑reviewed contributions to computational creativity and evolutionary computation and applied ML roles from game intelligence to Stability AI’s Applied Research team. He combines rigorous research (PhD, QMUL) and teaching experience with hands‑on implementation skills in PyTorch, high‑performance Python workflows and product‑facing design, having supervised MSc projects and taught core ML and creativity modules. Previously an award‑winning graphic and type designer, he brings a rare visual sensibility to model design and evaluation—evident in HCI work that collected large human judgement datasets for CHI. Comfortable leading research agendas and startups, he navigates stakeholder priorities to translate experimental ideas into reproducible experiments and prototypes.
13 years of coding experience
8 years of employment as a software developer
Bachelor of Arts (BA) Communication design, Bachelor of Arts (BA) Communication design at FH Aachen University of Applied Sciences
UPC Universitat Politècnica de Catalunya
Doctor of Philosophy (PhD) Computer Science Generative Machine Learning, Doctor of Philosophy (PhD) Computer Science Generative Machine Learning at Queen Mary University of London
Contributions:102 commits, 51 pushes, 1 branch in 1 year
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