Discrete models and their properties underlie many physical phenomena and hence combinatorics has long been applied to study problems in physics and chemistry. Meanwhile, the field of combinatorics is an independent subject which has evolved considerably over the past 20 years. Not coincidentally, so have computational technologies and the field of theoretical computer science. The application of combinatorics to problems in physics, biology and chemistry are under-used despite their wide applicability. In fact, given a proper understanding of the underlying combinatorial structure, and modern computing power, one can now predict large scale behaviour, and understand whether a given property is rare, or expected. Enumeration, random generation, parameter analysis — each are steadily becoming within reach for increasingly complex models.
A central aim of this proposed collaborative research group is to transport known results about combinatorial structures to other domains of science.
- Marni Mishna | Mathematics, Simon Fraser
- Andrew Rechnitzer | Mathematics, U. British Columbia
- Chris Soteros | Mathematics, U. Sask
- Karen Yeats | Mathematics, Simon Fraser
Participating Faculty: Cedric Chauve (SFU), Lily Yen (Capilano/SFU), Richard Bowles (Sask), Michael Szafron (Sask)
PIMS Postdoctoral Fellows
- Applied Combinatorics Summer School Saskatoon SK, May 18-29, 2015
- CanaDAM 2015 Saskatoon SK, June 1-4 2015
- FPSAC 2016, Vancouver BC, July 4 - 8 2016
- PIMS Analytic RNA Combinatorics Workshop April 15- 16 2014
- PIMS Summer school on multiple zeta values
- CAIMS 2014 Annual Meeting
- Satellite meeting to CAIMS: Combinatorial Applications to Biology, Chemistry and Physics, Saturday and Sunday June 21-22 2014.
- SIAM DM meeting (Minneapolis 2014): Polymer Models and Combinatorics