Congratulations to D.Phil. student Chris Lester on being granted leave to supplicate! Chris’ thesis, supervised together with @Kit_Yates_Maths, focussed on developing efficient simulation methodologies for stochastic models of biochemical reaction networks. We wish Chris all the best in his postdoctoral position with @MagnusRattray in Manchester!

• C. Lester, C. A. Yates and R. E. Baker (2017). Robustly simulating biochemical reaction kinetics using multi-level Monte Carlo approaches. arXiv
• C. Lester, C. A. Yates and R. E. Baker (2017). Efficient parameter sensitivity computation for spatially-extended reaction networks. J. Chem. Phys. 146:044106. DOI arXiv
• C. Lester, R. E. Baker, M. B. Giles and C. A. Yates (2016). Extending the multi-level method for the simulation of stochastic biological systems. Bull. Math. Biol. 78(8):1640-1677.  DOI arXiv
• C. Lester, M. B. Giles, C. A. Yates and R. E. Baker (2015). An adaptive multi-level simulation algorithm for stochastic biological systems. J. Chem. Phys. 124:024113. DOI arXiv