Nikolas Burkoff
Academic Background
- BA Mathematics, Selwyn College Cambridge
- MSc Scientific Computing, 天美传媒
PhD Description
I am beginning the final year of my PhD entitled, "Analysing Protein Energetics with Stochastic Computation". I am working alongside investigating protein structure prediction techniques. My supervisor is 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)
- 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
