Modeling

Member of the Modelling & Analytics team.My career to date at KPMG has focused on building modelling tools in Excel and SQL and reporting dashboards for governmental organisations.I also have experience in best practice modelling - providing clients with confidence that their models adhere to best practice techniques.

Member of the Popelier research group, involved in the development of a next-generation molecular mechanics force field.Project involved creating a FORTRAN90 program to automatically chose subsets of important interactions in DNA base pairs. It is hoped that once elucidated, these subsets can improve computation time when training a model system.Extensive use of a Unix based high performance computing cluster; Including shell scripting and program writing in FORTRAN90 and basic… Show more Member of the Popelier research group, involved in the development of a next-generation molecular mechanics force field.Project involved creating a FORTRAN90 program to automatically chose subsets of important interactions in DNA base pairs. It is hoped that once elucidated, these subsets can improve computation time when training a model system.Extensive use of a Unix based high performance computing cluster; Including shell scripting and program writing in FORTRAN90 and basic C++.Numerical methods used in FORTRAN90 program included multi-objective optimisation using genetic algorithms.Project was completed with a full write up, for which a grade of 72% was achieved.A presentation and defence of the project in a viva were undertaken, for which a grade of 70% was achieved. Show less

Worked under the supervision of Prof. Paul Popelier, parametrising a novel molecular mechanicsforce field for a solvated alanine molecule, using the machine-learning method of Kriging to predictatomic multipole moments.My work involved using molecular dynamics to sample conformations of a solvated alanine molecule, which were then used to train and test a Kriging model.My own Fortran90 programs manipulated molecular dynamics data to give radial distribution functions of solvent… Show more Worked under the supervision of Prof. Paul Popelier, parametrising a novel molecular mechanicsforce field for a solvated alanine molecule, using the machine-learning method of Kriging to predictatomic multipole moments.My work involved using molecular dynamics to sample conformations of a solvated alanine molecule, which were then used to train and test a Kriging model.My own Fortran90 programs manipulated molecular dynamics data to give radial distribution functions of solvent and systematically generate Gaussian09 input files; these were then submitted to the Computational Shared Facility, the University of Manchester's Linuxlarge-scale computing cluster. Show less