Nikolas Burkoff

Academic Background

BA Mathematics, Selwyn College Cambridge
MSc Scientific Computing, University of Warwick

PhD Description

I am beginning the final year of my PhD entitled, "Analysing Protein Energetics with Stochastic Computation". I am working alongside Csilla Várnai investigating protein structure prediction techniques. My supervisor is Prof. David Wild and my funding was provided by the Leverhulme Trust.

Publications

Exploring the Energy Landscapes of Protein Folding Simulations with Bayesian Computation. N. S. Burkoff, C. Várnai, S. A. Wells and D. L. Wild. Biophysical Journal 102: 878-886, (2012)
Predicting protein β-sheet contacts using a maximum entropy-based correlated mutation measure. N. S. Burkoff, C. Várnai and D. L. Wild. Bioinformatics 29(5) 580-587, (2013) http://www2.warwick.ac.uk/fac/sci/systemsbiology/research/software/
Efficient Parameter Estimation of Generalizable Coarse-Grained Protein Force Fields Using Contrastive Divergence: A Maximum Likelihood Approach. C. Várnai, N.S.Burkoff and D.L.Wild J. Chem. Theory Comput. 9(12)5718-5733, (2013)

Current Research

I am currently collaborating with Rob Baldock and Gábor Csányi at the University of Cambridge continuing our research into nested sampling for atomic systems

More details to follow soon