Summary
Steindor Saemundsson is a Machine Learning Scientist and PhD candidate in Statistical Machine Learning at Imperial College London with eight years of industry and research experience spanning startups, academia, and moonshot AI labs. He currently applies advanced ML research to product-focused problems at Shift Lab after internships and residencies at Microsoft and X (the moonshot factory), bringing both deep theoretical training and practical deployment experience. His background in theoretical and mathematical physics and an MPhil in Machine Learning, Speech and Language Technology underpins a strong probabilistic and signal-processing perspective on ML. Comfortable moving between research and engineering, he has helped found an early-stage company and navigated financial operations early in his career, giving him uncommon operational and cross-disciplinary instincts for an academic researcher.
8 years of coding experience
Theoretical and Mathematical Physics, 85, Theoretical and Mathematical Physics, 85 at King's College London, U. of London
Master of Philosophy (MPhil), Machine Learning, Speech and Language Technology, Master of Philosophy (MPhil), Machine Learning, Speech and Language Technology at University of Cambridge
Doctor of Philosophy (PhD), Machine Learning, Doctor of Philosophy (PhD), Machine Learning at Imperial College London
Stúdentspróf (Matriculation Examination), Physics, Stúdentspróf (Matriculation Examination), Physics at Commercial College of Iceland
Icelandic, English