Kim A. Nicoli

Researcher | BIFOLD

Doctoral Researcher | Machine Learning Group at Technische Universität Berlin

Website | Google Scholar

Technische Universität Berlin

Machine Learning

Secretariat MAR 4-1

Marchstr. 23

D-10587 Berlin

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Kim A. Nicoli

Kim Nicoli is an associate researcher working in the Machine Learning Group at Technische Universität Berlin. Kim earned his Master’s degree in Physics of Complex Systems in 2017 from the University of Turin, Italy. In the second half of 2017 he has been a visiting researcher at NORDITA (Nordic Institute For Theoretical Physics) working in the field of active Brownian Motion. Since early 2018 Kim joined the Machine Learning group at TU Berlin. His research is now mainly focused on Machine Learning applications to lattice physics and quantum computing problems.

Research Interests

  • Machine Learning
  • Deep Generative Models
  • Variational Inference
  • Bayesian Inference
  • Machine Learning applications to Lattice Field Theory and Quantum Computing (VQEs)