Andrew Pole

Dr. Andrew Pole is a Senior University Lecturer in the Mathematical Sciences department at NJIT.

Education: PhD in statistics from the University of Nottingham, where he developed time series methods for modeling structural change.

Professional Background: His career has spanned industry and academia on both sides of the Atlantic, solving business and research problems with the application of mathematical and statistical analysis and building practical computer implementations. Quantitative research in finance and risk management led him back to academia, teaching mathematical finance and applied statistics. His research projects include classification (time of day trading impact), cluster analysis (constructing homogeneous risk groups), data mining (patterns in trade outcomes and predictive footprints), designing risk metrics (characterize dynamics of investment models), structural change (cancer treatment in mice), and more recently ocean acoustics (locating an underwater target at sea). At NJIT, Andrew teaches courses in applied mathematics and statistics, with applications in R and Python.

• Math 661 - Applied Statistics