Predictum Academy

Marie is a Senior Data Scientist at Predictum. She specializes in predictive modeling, design of experiments, statistics, and machine learning. She has extensive experience in consulting and statistical training in a wide variety of industries. Marie is Professor Emerita of Statistics at the University of New Hampshire (UNH), where she has worked extensively with students and companies on the practical application of statistics. She is also a co-author of two books, one of which is about the use of JMP software and statistical methods to improve quality and the other is about the partial least squares technique. She was also a statistical writer for several years as a member of the JMP documentation team at SAS Institute. Marie holds a Ph.D. in Statistics from the University of Massachusetts at Amherst.

Phil is a Senior Data Scientist and Statistical Consultant at Predictum. He provides consulting services in data science, statistics, and machine learning for integrated analytical systems, custom projects, and training. He specializes in modern experimental design and analysis strategies and the use of statistics, data science, and machine learning in engineering and science. In addition, Phil is a Professor in the Department of Mathematics and Statistics at the University of New Hampshire (UNH) where he teaches courses at the undergraduate and graduate levels in design of experiments, machine learning, and statistical methods for quality improvement. He has held the following relevant industrial positions: Senior Engineer for Materials and Processes Development, McDonnell Douglas, St. Louis, MO; Staff Scientist/Statistician, Alcoa Technical Center, Pittsburgh, PA; and Statistician/Senior Engineer, Rohm & Haas Electronic Materials (now Dow), Marlboro, MA. Phil holds a Ph.D. in statistics from Virginia Polytechnic Institute and State University.

Nick is a Principal Statistician at Predictum. He specializes in statistical analysis, measurement system assessment, statistical process control, and design of experiments. He has extensive experience in the design, development, and delivery of courses in statistics serving both industry and academia. Nick worked at Nortel (14 years) in various manufacturing operations of high-tech components, as an independent consultant (5 years) providing training to automotive and high-tech companies, and at Abbott Laboratories (18 years) as a quality engineer supporting manufacturing and as a principal statistician supporting clinical studies in R&D. Nick was presented with an Abbott Chairman’s Award in 2007 as a team member for the successful FDA submission of waived status for a flagship product. Nick is a part-time professor in the Department of Chemical and Biological Engineering at the University of Ottawa where he teaches undergraduate and graduate courses in the design of experiments, statistical process control, and statistical analysis of clinical study data. Nick has been recognized with several commendation letters from the Dean of Engineering for the high-quality teaching he has provided to his students. Nick holds a B.A.Sc. in Chemical Engineering from the University of Ottawa, an M.Eng. in Chemical Engineering from McMaster University, and an M.Sc. in Mathematics Specialization in Biostatistics from the University of Ottawa. “I really liked how organized the course was. I learned a lot about DOE which is very important in the field I want to work in.” Student, uOttawa. “Nick Burn’s expertise in statistics has been invaluable to our team at Redlen. His deep understanding of statistical concepts, coupled with years of practical application, has greatly benefited everyone involved.” S.R., Redlen Technologies.