Yuki Okamoto

I am a research engineer at the Physics of Medical Imaging group, KTH Royal Institute of Technology in Stockholm, under the supervision of Prof. Mats Danielsson and Assoc. Prof. Mats Persson. I am also an incoming doctoral student at Lagergren Lab, starting from November 2026.

My research interests lie at the intersection of machine learning and applied mathematics. In particular, I am interested in deep generative models, probabilistic modeling, and Bayesian/variational inference, along with their applications to medical and environmental domains.

Previously, I received my Master’s degree in Applied and Computational Mathematics from KTH, where my thesis was supervised by Asst. Prof. Soon Hoe Lim. Prior to that, I obtained my Bachelor’s degree in Systems Innovation at The University of Tokyo under the supervision of Prof. Toru Sato.