734-709-0065
Applications: Business Analytics, Civic Infrastructure, Climate Research, Economics, Finance Research, Networks, Transportation Research Methodologies: Algorithms, Artificial Intelligence, Bayesian Methods, Computational Tools for Data Science, Decision Science, Econometrics, Geographic Information Systems, Longitudinal Data Analysis, Machine Learning, Natural Language Processing, Network Analysis, Optimization, Predictive Modeling, Signal Processing, Statistics, Time Series Analysis Relevant Projects:

NSF, Great Lakes Industries, Tekes (Finnish Innovation Fund), Dow Chemical, Ford Motor Company, Ceres (NGO)

Connections:

Board Member, Global CleanTech Cluster Association

Chartered Alternative Investment Analysts

Former-President, Association of Environmental Engineering and Science Professors

Research Institute of the Finnish Economy

MSCI, Bloomberg, Credit Suisse, BlackRock, CalPERS, TruCost S&P

Peter Adriaens

Professor, Civil and Environmental Engineering, College of Engineering

Affiliation(s):

Ross School of Business
School for Environment and Sustainability

My research focus is on the development and application of machine learning tools to large scale financial and unstructured (textual) data to extract, quantify and predict risk profiles and investment grade rating of private and public companies.  Example datasets include social media and financial aggregators such as Bloomberg, Pitchbook, and Privco.