Research

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I am an assistant professor at the Institute of Physics, Nicolaus Copernicus University (NCU), Grudziadzka 5, 87-100 Toruń, Poland.

My research involves using statistical physics and machine learning to develop advanced simulation techniques for exploring complex physical systems.

My group currently focuses on spectral map, a statistical learning method for constructing reaction coordinates to describe long-timescale Markovian dynamics.

Some of our recent publications:

• J. Rydzewski, T. Gökdemir
  Learning Markovian Dynamics with Spectral Maps
  J. Chem. Phys. 160, 091102 (2024)
  doi:10.1063/5.0189241 / arXiv:2311.16411 / Zenodo:10678142 / plumID:24.005

• J. Rydzewski
  Spectral Map: Embedding Slow Kinetics in Collective Variables
  J. Phys. Chem. Lett. 14, 5216 (2023)
  DOI:10.1021/acs.jpclett.3c01101 / arXiv:2404.01809

• J. Rydzewski, M. Chen, O. Valsson
  Manifold Learning in Atomistic Simulations: A Conceptual Review
  Mach. Learn.: Sci. Technol. 4, 031001 (2023)
  DOI:10.1088/2632-2153/ace81a / arXiv:2303.08486

• J. Rydzewski
  Selecting High-Dimensional Representations of Physical Systems by Reweighted Diffusion Maps
  J. Phys. Chem. Lett. 14, 2778 (2023)
  DOI:10.1021/acs.jpclett.3c00265