Michael Plainer is a doctoral researcher at ELIZA in the Machine Learning Group at Technische Universität Berlin and the AI4Science Group at Freie Universität Berlin. He received his master’s degree in computer science with a specialization in digital biology. Michael’s research focuses on the application of machine learning to other sciences, with a particular interest in generative models for dynamical biophysical systems.

Interests
  • Diffusion Models
  • Deep Learning
  • Dynamical Systems
  • Generative Models
  • Graph Neural Networks
  • ML for Physical Sciences
  • Normalizing Flows
  • Score-based Models
Education
  • M.Sc. Computer Science, 2023

    Technical University of Munich

  • B.Sc. Computer Science, 2021

    Technical University of Munich