Research interests
I use statistical mechanics and machine learning to study thermally driven, nonequilibrium phenomena such as molecular self-assembly and thermodynamic computing.
Education
2001 MPhys, Trinity College, University of Oxford.
Previous positions
2007–2008 Postdoctoral Fellow, Systems Biology Centre, University of Warwick. Supervised by
Nigel Burroughs.
2004–2007 Postdoctoral Fellow, Department of Chemistry, University of California at Berkeley. Supervised by Phillip L. Geissler.
Group members
- Dr. Dina Mirijanian (2009–2012)
Developed an atomistic forcefield for peptoid polymers.
- Dr. Lester Hedges (2010–2014)
Worked on fundamental aspects of self-assembly and nucleation.
- Dr. Tom Haxton (2010–2015)
Worked on fundamental aspects of protein crystallization, self-assembly at surfaces, and peptoid assembly.
- Dr. Ranjan Mannige (2012–2016)
Worked on the self-assembly of peptoid nanomaterials and metal-organic frameworks.
- Dr. Joyjit Kundu (2014–2017)
Worked on the dynamics of carbon capture within solid frameworks.
- Dr. Zdenek Preisler (2016–2019)
Worked on molecular self-assembly at surfaces and gas capture in metal-organic frameworks.
- Dr. John Edison (2015–2018)
Worked on gas capture in metal-organic frameworks and the self-assembly of peptoid nanomaterials.
- Dr. Katie Klymko (2013–2018)
Worked on pattern formation and rare events in driven and growing systems.
- Dr. Katie Deeg (2014–2019)
Worked on the nucleation of metal-organic frameworks.
- Dr. Sang-Won Park (2019–2021)
Worked on gas capture and the dynamics of neural-network learning.
Code
- Dina Mirijanian developed an atomistic forcefield for peptoids, MFTOID.
- Tom Haxton developed a coarse-grained peptoid model, MF-CG-TOID-MC.
- Lester Hedges' vmmc.xyz is a C++ library for virtual-move Monte Carlo simulations of interacting particles.
Miscellaneous
No scientist's webpage is complete without a list of the awards they hold dearest.
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