Robert BERNARD

Robert Bernard is a Director in PwC’s Risk Modeling Services – ESG at where he focuses on the development of products and services that project future risks from climate change. Rob leads teams and engagements that use quantitative analytics, predictive models, and geospatial products that quantitatively estimate the deleterious effects of climate change.

Rob has more than 25 years of experience developing advanced analytics, data science methods, artificial intelligence (including generative AI), and predictive models in a variety of industries, from simulating long-term land use and demographic change for small towns, to creation of machine learning models of fraud detection, to forecasting alpha for long-term investment strategy, to creation of innovative natural language processing techniques for measuring engagement, commitment, and understanding in online discussion forums.

Rob has a Master’s degree in Urban and Regional Planning with a specialization in Gaming/Simulation Studies from the University of Michigan, a Bachelor’s degree in Psychology and Cognitive Science from Princeton University. 

He is completing his Master’s thesis in Predictive Analytics from Northwestern University.  He has worked in data science and simulation for over eleven years at PwC, developed counterterrorism analytics for the US Intelligence industry for Boeing, and specialized in regional demographic and economic forecasting for the Southeast Michigan Council of Governments.