(734) 936-2445
Applications: Business Analytics, Economics, Management Science, Marketing and Consumer Behavior Research, Medical Informatics, Mobile Devices, Networks Methodologies: Bayesian Methods, Causal Inference, Data Mining, Dynamical Models, Econometrics, Machine Learning, Network Analysis, Predictive Modeling, Statistical Inference, Statistical Modeling Relevant Projects:

Pharma marketing mix models

Social Media Models

Connections:

INFORMS

American Marketing Association

Puneet Manchanda

Professor, Marketing, Ross School of Business

My interest is in using econometrics, especially Bayesian econometrics, and machine learning methods to infer causality. I tend to work with mostly parametric models of firm and consumer behavior to assess the effectiveness of firm actions. My work spans a variety of industries such as pharmaceuticals, e-commerce, gaming and hi-technology.