Nigel Markey

Nigel applies AI, Data Science, Machine Learning, & software engineering into biopharma R&D. His work covers the end to end spectrum of AI applications: training drug discovery chemistry lead optimisation algorithms, Clinical Trial Protocol Complexity analysis, supply chain optimization and many more strategic algorithmic applications. His academic background is mathematics. Recent projects have included: - drug discovery chemistry optimisation of assay decision process - clinical trial protocol generativeAI copilot tool build - drug discovery chemistry training a generative transformer model for lead optimisation - drug discovery chemistry matched molecular pair algorithm performance evaluation - clinical trial documents structured information extraction using GPT4 - clinical trial protocol complexity reduction analysis - clinical trials simulation - building agent based simulations of clinical trials - clinical trial recruitment optimisation and site network creation - clinical trial epidemiology modelling and trial start time optimisation to achieve maximum PKPD evidence - covid19 epidemiology, testing performance characteristics and policy analysis - pharma supply chain optimisation, using simulation and forecasting to improve inventory, resiliency, reduce the chances of medicine stock-outs, and lower costs - real-time two phase linear optimisation of water networks, including algorithmic optimisations to ensure real-time model results were powered by sensor data. This resulted in two patents - prediction of crop failures in supply chains and the impact on food testing - forecasting demand for the contact centre of a large bank, including root cause analysis, using a variety of ML and forecasting techniques - identity matching algorithms for gocompare.com, covering a pipeline of algorithms; NLP, fuzzy matching, search, classification etc. - applying ML to pricing and actuarial forecasts for a personal lines insurance company - using ML Uplift Modelling and Sequence Classification algorithms to tailor pricing - analysing the financial value of emojis in marketing communications Other experience includes: - Software development & analysis in Python & R - Moderate experience with React.js, D3, Spark, Alteryx, Tableau - Hands-on experience with the 3 major cloud providers; AWS, GCP & Azure. - Industry experience spanning: Biopharma, FMCG, CPG, Public Sector, Oil & Gas, Financial Services, Marketing, Transport, Big-box retail, Utilities, Postal Services, Insurance, Media and Telecommunications.