Dr. Shinichi Nakajima is a member of Machine Learning Group in Technische Universität Berlin. He received the master degree on physics in 1995 from Kobe university, and worked with Nikon Corporation until September 2014 on statistical analysis, image processing, and machine learning. He received the doctoral degree on computer science in 2006 from Tokyo Institute of Technology. His research interest is in theory and applications of machine learning, in particular, Bayesian inference, generative modeling, uncertainty estimation, explainable artificial intelligence, and their applications for computer vision, natural language processing, science and quantum computing. At the BIFOLD he leads the research group “Probabilistic Modeling and Inference”.

  • Bayesian learning
  • Generative models
  • Efficient computation for explainable AI
  • Quantum computing
  • PhD in Computer Science, 2006

    Tokyo Institute of Technology

  • Master degree in Physics, 1995

    Kobe University