Friedrich Hastedt

Friedrich Hastedt

Supervised Machine Learning for Retrosynthesis and Synthesis Route Planning

Friedrich is a PhD candidate at the CDT React with a research focus on developing interpretable and reliable machine learning frameworks for chemical retrosynthesis. He is generally interested in the application of deep learning techniques for small molecules and proteins. Prior to his PhD, he was an undergraduate student in the Department of Chemical Engineering at Imperial College London.

Interests
  • Deep Learning in Chemistry
  • Explainable AI
  • Generative AI
  • Bayesian Inference
Education
  • MRes Advanced Molecular Synthesis, 2022-2023

    Imperial College London

  • MEng in Chemical Engineering, 2018-2022

    Imperial College London

Publications