CV

Education

• B.Sc. in Chemistry, University of Warsaw, 2011
• M.Sc. in Chemistry, University of Warsaw, 2013
• Ph.D in Applied Sciences, Delft University of Technology, 2019 (expected)

Work experience

• PhD Researcher in Advance Soft Matter group at Delft University of Technology (2014 Jul - 2019 Apr)
  • Simulations of self-assembly process using different types of molecular simulations (QM, MD, CG MD)
  • Development and implementation of enhancing sampling methods (python, shell scripting)
  • Analysis using statistical (R and python with numpy and pandas) and machine learning methods (pyemma, sklearn)
  • Teaching assistant for 4 bachelor courses and supervisor of student research project
  • Close collaboration with experimental group
• Visiting researcher in Laboratoire Polymères et Matériaux Avancés at Solvey (2016 Oct-Dec)
  • Research project in multiscale modelling (from quantum mechanics to Brownian dynamics) of polymers using Material Studio, Turbomole and GROMACS
• Visiting researcher in Tuttle Lab at University of Strathclyde (2016 Apr-Aug)
  • Screening of potential gelators using molecular dynamics (NAMD, shell scripting) with close collaboration with experimental group
  • Supramolecular structure prediction (NAMD, shell scripting)
  • Analysis (VMD)
• Intern in biophysical chemistry group at Polish Academy of Science (2012 Sep – 2013 Jun)
  • Development of a high-performance simulator of fluorescence correlation spectrometer (C/C++ with GPU parallelization)

Expertise

• Chemistry:
  • Supramolecular chemistry
  • Polymer chemistry
• Computational chemistry:
  • Molecular dynamics
  • Multiscale modeling
  • Force-field development/validation
  • Rare-event sampling methods
• Data analysis
  • Statistics
  • Machine learning

Publications

See publications.

Talks

See talks.

Teaching

See teaching.