Summary
Adam Kosiorek is a Senior Research Scientist with 12 years of experience at the intersection of fundamental deep learning research and engineering, currently leading work on reasoning and planning for LLMs at DeepMind. He has a strong track record in generative models—VAEs, NeRFs, diffusion models—and has led multi‑person projects that produced top-tier publications while also building low‑friction infrastructure for efficient model training. His background spans academia (PhD from Oxford) and industry internships with figures like Geoffrey Hinton, reflecting both theoretical depth and practical system-building. Based in London but aiming for roles near the Alps, he is actively seeking opportunities that combine AI with human biology, longevity, and performance. Outside research, he’s an avid outdoorsman and reader, suggesting a pragmatic, curiosity‑driven approach to long‑term problems. An unexpected thread through his career is hands‑on low‑level optimization (Fortran/assembly and CUDA) that complements his high‑level ML expertise.
12 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (PhD) Information Engineering, Doctor of Philosophy (PhD) Information Engineering at University of Oxford
Just a single semester Computer Science, Just a single semester Computer Science at Warsaw University of Technology
Master of Science (M.Sc.) Computational Science & Engineering, Master of Science (M.Sc.) Computational Science & Engineering at Technical University of Munich
Exchange student Mechanical Engineering, Exchange student Mechanical Engineering at Kumoh National Institute of Technology
Polish, English, German