Financial planning of the R&D Portfolio across each of the business units, to help quantify costs and milestone attainment. The framework used Excel, SAP and mathematical modelling techniques (Monte Carlos simulation, sensitivity analysis and statistical comparison with historical data). The model allowed finance directors to plan their portfolio based on specified levels of risk and project variability (cycle times, delay, cost per phase, success factors). The model helpped predict project workload and project costs per line function as well as helping to quantify the impact of different outsourcing strategiesDevelopment of a consolidated late stage modelling framework for revenue, cost and NPV projections using decision trees to integrate the key factors that impact revenue decision making: peak year sales, sales uptake curves, market launch sequencing, niche population size and asset brand release strategies. The model was recently extended to introduce Value at Risk (VaR) sensitivity analysis to ensure the trade-off between risk and value were understood at both an asset and portfolio level. The model was used for long range revenue forecasting to calculate the portfolio Compound Annual Growth Rate (CAGR).Creation of Drug Discovery Performance Metrics including success rates, cycle times and milestone achievements. The work allowed more advanced predictions of the performance of the GSK pipeline both for R&D and for time to market predictions.Worked with the research statistical unit to develop and compare different methodologies for the predication of system wide clinical trial supply overage within the supply chain. The model used a novel approach that linked supply and demand using mathematical models and statistical techniques (notably the use of recruitment cohorts and Markov models). The model allowed costs within the supply network to be better understood without compromising clinical recruitment rates. The model was used for headcount forecasting.

Responsible for the analysis and modelling of business processes within R&D and Global Manufacturing Supplies. Consultancy projects delivered include: 1) a discrete event model for factory material handling logistics (Alli product line), resulting in a 20% potential improvement in factory up-time 2) working with R&D Compound Management to model process throughput offered by the installation of a new Plate Store, the model indicated that 20% extra capacity was needed to meet the annual screening requirements for the business.Creation of a process map for the Oral Care Manufacturing facility to increase factory throughput for specific product lines. The work involved visiting the site, translating the workings of the factory into a process specification document together with a plan for modelling and optimising machine throughput and performance. Assisted the business case development of two projects: 1) obtaining sponsorship for the modelling of the supply chain logistics for a product line extension feasibility study, 2) obtaining sponsorship for the development of a clinical trial monitoring system to facilitate trial complianceIn collaboration with Professor Stewart Roberts, developed the specification and implementation of a clinical trial supply chain model to help understand wastage within the supply chain and obtained sponsorship for its development. The model was developed in collaboration with Warwick University using two Master level students. Both projects were awarded distinctions. Discrete event and system dynamics techniques were usedImplemented a change management program across a 40 man team within Finance and Operations Planning, developing a world wide workflow for the processing of client requests. Specified and obtained approval for the functionality of a bespoke Lotus Notes tool and managed the outsourcing of its development. The work allowed for the prioritisation of client requests and the creating of a performance dashboard.

Working with a key customer within the life-science industry, was responsible for the development of a 3.5 million pound software product for automated compound storage, retrieval and processingManaged customer visits in the US and UK, the requirements capture process and the steering committee presentations with the customerAgreed Product Functional Specifications with the Commercial Group in accordance with business requirementsManaged team structure, roles, responsibilities, project funding and budget (including delivery of the product functional specification, product quality audit, integration testing and product deployment)Product delivered on time for Factory Acceptance Test with first external customer Dec 05

Working with clients within the life-science industry, defined user requirements and acceptance test criteriaResponsible for managing software resources and team structure within the company, to adapt to market and project demands Created processes within the company to help control the software product development and maintenance processes. Created and rolled out a software development lifecycle, involving architectural and detailed designs and formal review of the softwareManaged the software product support team, responsible for customer liaison, and the measurement and metrics reporting of software maintenance activities Creation of an analytical tool for resource allocation within the software and hardware teams. The tool used data from historical projects together with current workloads to predict likely sales and delivery

Managed a 10 man French team to develop and maintain for 150 end users an industrial scale in-house simulation package that was used to model tyre performance (development in Unix, C, C++ and Fortran)Responsible for the delivery of a 30-man year project to increase the precision and reliability of the software for virtual tyre analysis (based on an understanding of customer and internal requirements). The project involved working with the US, setting cross-group objectivesIntroduced new models for the kinetic simulation of tyre wear, and the thermal expansion of the tyre during its lifetime for different material laws. The models allowed for new areas of tyre simulation to be exploredTrained end users in France, US and JapanResponsible for the research and development of finite-element models for structural design optimisation with tyres. My speciality was contact mechanics, hyper-elastic material laws and the understanding of initial state stresses and strains using reverse engineering techniques

Applied novel techniques, mathematical in nature, developed at the university of Durham to help assist in the maintenance of complex industrial scale software for the SWIFT banking software system. I was responsible for client liason and for new business creation with existing customers.

Working in close collaboration with the Atomic Energy Authority to design and implement a generic analysis tool for end user reactor physicists. The work I did in algorithm development improved the calculation time 100 fold and is still being used today for Pressurised Water Reactor calculations