Yuki Okamoto

I am a PhD student under the supervision of Prof. Jens Lagergren at KTH Royal Institute of Technology/SciLifeLab in Stockholm. My research interests lie at the intersection of machine learning and applied mathematics. In particular, I am interested in Bayesian/variational inference and deep generative models, along with their applications to medical domains such as cancer evolution and phylogenetics.

Previously, I was a research engineer at the Physics of Medical Imaging group at KTH, under the supervision of Prof. Mats Danielsson and Assoc. Prof. Mats Persson. Prior to that, I obtained my Master’s degree in Applied and Computational Mathematics at KTH and my Bachelor’s degree in Systems Innovation at The University of Tokyo.