I have learned during my career that many experimental investigations were inefficient. These were accompanied by a poor understanding by the technical teams of the power of statistical analysis and a similar level of understanding by the statistical teams of the underlying physical basis of the experimental factors being studied. I have a strong skill in designing experiments using statistical DOE techniques that take into account the realistic interactions that will occur on a physical basis and then translate those into a robust and frugal design. For example, I successfully reduced a response surface study for an analytical method that would have required more than 500 manual assays (equivalent to more than 4 FTE weeks) to less than 50 assays.
|JMP||Excel (complex macros)|
Important to designing, implementing and analyzing efficient and robust experiments are the experience and expertise of appropriate software tools. My two primary tools are Microsoft Excel and SAS Institute’s JMP. I have written simple and complex Excel macros to achieve goals such as automating retrieving and analyzing data, as well as directly controlling hardware. Where more powerful analysis is required I use JMP. I also use it to create highly visual reports and presentations. For large, confounded and/or sparse datasets I have an innate ability to quickly find patterns that are not readily seen by others. I was the first person to use JMP within product development at GSK and it has become a tool used by the majority of scientists. I apply my experimental design skills across all of my areas of focus described elsewhere.
Download a PDF information pack describing background experience and expertise, and areas of technical focus.