(734) 936-2445

Business Analytics, Economics, Management Science, Marketing and Consumer Behavior Research, Medical Informatics, Mobile Devices, Networks
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



American Marketing Association

Puneet Manchanda


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.