
Phil Kay
Student Chemist

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About me
DOE & Data Analytics Evangelist | Nervously Excited About Digital Future of Science, Engineering, R&D, Manufacturing | Medium-pace runner and road cyclist
Education

Lancaster University
2013 - 2017MSc Quantitative Methods for Science, Social Science and Medicine (Applied Statistics) Distinction"A practical foundation to the theory and application of statistical methods."Statistical Methods, Statistical Inference, R, Generalised Linear Models, Secondary Data Analysis, Questionnaire Design, Sampling Design, Methods for Missing Data, Bayesian Methods, Quantitative Methods for Scientific Research, Data Mining, Mixed Models, Survival/Duration Analysis, Structural Equation Modelling.Dissertation on Design of Experiments: Augmenting Definitive Screening Designs

The University of Edinburgh
1997 - 2002MChem Chemistry with Industrial Experience
The University of Edinburgh
2002 - 2007PhD Microwave Chemistry"Techniques for probing the processes by which microwaves interact with chemical and biological systems"Key motivation: Claims of unusual effects of microwaves upon chemical (increased reaction rate) and biological systems (hazards of mobile phone use) are often insubstatiated due to poor experimental techniques.
Experience

Nitto Avecia
Jul 2000 - Sept 2001Student ChemistDegree placement project with Avecia Pigments and Additives (now Lubrizol) developing potential products for new opportunities in the pigment dispersion additives market. Involved organic synthesis, analysis by FT-IR, MS, NMR and application testing.

FUJIFILM Imaging Colorants Limited
Jan 2006 - Dec 2013Supporting R&D, Manufacturing and Finance in using visual and statistical data analysis. In particular:1. Designing experiments (DoE) and analysing experimental and process data to understand, optimise and control manufacturing processes.2. Developing and delivering training in statistical methods and software.3. Networking with the statistical community to bring the best new and existing approaches to data analysis and process design and improvement.4. Helping colleagues to access and manipulate critical data from databases and other sources. Show less Generation of process understanding for FFIC's pigment dispersion and chemically produced toner technologies. - Experimental design, implementation and analysis.- Modeling designed or historical data to inform decision-making and guide process development.- Effective communication of process knowledge using sophisticated data visualization.- Applying understanding from experiments along with theoretical considerations from chemical and colloid science to the effective scale-up of processes into a manufacturing capability.- Supporting and troubleshooting manufacturing.- Ensuring safe working in the lab (COSHH and risk assessment). Show less
Data Scientist
May 2012 - Dec 2013Post Doctoral R&D Chemist, Experimental Chemist
Jan 2006 - May 2012

JMP
Jan 2014 - nowPre- and post-sales consultation with leading global science and engineering companiesManaging global programme to welcome our new hires, connect them, get them excited about our missionEvangelizing for data analytics in science and engineering: conferences, webinars, blogs, social media Proving the value of powerful and easy-to-use data analytics for scientists and engineers.Consulting with customers and prospective customers in a range of industries to understand their technical challenges and how data analytics can help them to find solutions.
Manager, Global Technical Enablement
May 2024 - nowTeam Lead, Global Technical Enablement
May 2023 - May 2024Learning Manager, Global Technical Enablement
Jan 2020 - May 2023Senior Systems Engineer (Analytics Consultant)
Jan 2014 - Dec 2019
Licenses & Certifications
- View certificate

JMP Certified Associate: Statistical Thinking and Industrial Problem Solving
SASDec 2018 - View certificate

Member Chartered Chemist of the Royal Society of Chemistry
Royal Society of ChemistryMar 2021
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