Satheesh Seenivasan holds a Bachelor’s degree in Electrical & Electronics Engineering from Coimbatore Institute of Technology, India, and Master's degree in Economics and PhD in Marketing from The State University of New York at Buffalo. His primary research area is econometric modelling, with a specific focus on retailing (private label brands, store traffic, retail competition, store loyalty), healthy consumption (nutrition labelling, biases in consumption behaviour, household life cycle and consumption behaviour), and macro-level factors influencing consumer behaviour (global obesity, globalization, recession, socio-economic environment). His research has been published in leading journals such as the Journal of Consumer Research, Management Science, Journal of Marketing Research, Journal of Retailing and International Journal of Research in Marketing, and has been cited in leading media outlets such as The Wall Street Journal, Business Week, The New York Times and Time magazine. He has also presented his research at several INFORMS Marketing science conferences.

Grants

VicHealth Innovation grant ($200,000), VicHealth, June 2018 (with Dominic Thomas, Anish Nagpal and Gary Sacks)

Monash Business School seed funding ($30,000), Monash Business School, Dec 2017 (with Samir Gupta)

ARC Seeding research grant ($7,400), University of Melbourne, Dec 2015 (with Anish Nagpal and Dominic Thomas)

Department of Marketing research grant ($6,900), Monash Business School, Aug 2015 (with Junzhao Ma)

Faculty research grant ($18,900), Monash University, Nov 2012 (with Dominic Thomas)

Editorial roles:

Editorial review board reviewer: Journal of Business Research

Adhoc reviewer: Journal of Retailing, European Journal of Operational Research, European Journal of Marketing, Journal of Retailing and Consumer Services, International Business Review and Journal of International marketing

Research interests / areas:

* Retailing (private label brand, retail competition, store loyalty)

* Healthy consumption (nutrition labels, household life cycle and food consumption, biases in consumption behaviour)

* Marketing models (choice models, Bayesian models, time-series analysis)

* Consumer response to macro-economic conditions and policy changes

* Online reviews and purchase behaviours