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Dr Nathan Clisby

Ph.D., Stony Brook University, United States; M.Sc., Stony Brook University, United States; B.Sc. (Hons), Flinders University, Australia


My main field of research is statistical mechanics, which is the study of physical systems with many, many constituents, with the goal of understanding how these constituents can cooperate to bring about global changes of state, otherwise known as phase transitions. Typical examples of phase transitions are liquid water freezing, or boiling, or a magnet losing its magnetic field when it's heated.

Currently, my primary research focus is the development of efficient computer implementations of Monte Carlo sampling algorithms, starting with self-avoiding walks and related models of polymers. Significant progress is possible for a wide range of applications, both in the field of statistical mechanics (percolation, Hamiltonian paths, hard spheres) and more broadly (exotic option pricing), for which either simple sampling or Markov chain Monte Carlo is the state of the art.

I also have research interests in developing efficient enumeration algorithms, physical combinatorics, climate science, computational mathematics, modelling more broadly, polymer physics, and mathematical visualisation.

Research interests

Mathematical modelling; Statistical Mechanics

PhD candidate and honours supervision

Higher degrees by research

Accredited to supervise Masters & Doctoral students as Associate Supervisor.


Available to supervise honours students.

Fields of Research

  • Statistical Mechanics, Physical Combinatorics And Mathematical Aspects Of Condensed Matter - 010506


  • 2014, Other, Dean's Award for Excellence in Research (Research Only), University of Melbourne
  • 1997, Other, University Medal, Flinders University

Further information


Also published as: Clisby, Nathan; Clisby, N.
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Recent research grants awarded

  • 2017: Computational studies of soft matter *; ARC Future Fellowships

* Chief Investigator

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