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Dr Nathan Clisby

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


Nathan Clisby obtained his B.Sc. (with First Class Honours and University Medal) in physics from Flinders University in Adelaide, South Australia, before completing a PhD in physics at Stony Brook University in New York, USA. He then moved to Melbourne, Australia to work as a post-doctoral research fellow at the ARC Centre of Excellence for the Mathematics and Statistics of Complex Systems (MASCOS), before taking up an ARC Future Fellowship position based at the University of Melbourne. In mid 2017 Dr Clisby moved to the Department of Mathematics at Swinburne University of Technology, initially as an ARC Future Fellow and currently as a Lecturer. His main field of research is statistical mechanics. In particular, he has made significant advances in the development of novel computational methods to study theoretical models such as hard spheres and self-avoiding walks. Dr Clisby's other research interests include physical combinatorics, climate change, 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 Principal Supervisor.


Available to supervise honours students.

Fields of Research

  • Statistical Mechanics, Physical Combinatorics And Mathematical Aspects Of Condensed Matter - 490206


  • 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.
This publication listing is provided by Swinburne Research Bank. If you are the owner of this profile, you can update your publications using our online form.

Recent research grants awarded

  • 2023: Transformative simulation techniques for complex polymer networks *; ARC Discovery Projects Scheme
  • 2020: Accurate multi-gas emissions equivalence modelling of greenhouse gases *; Vacation Research Scholarship Scheme
  • 2017: Computational studies of soft matter *; ARC Future Fellowships

* Chief Investigator

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