Anindya Sen is Professor of Economics at the University of Waterloo where he has taught since 1999, and has been the Director of the Master of Public Service, Founding Director of the Graduate Diploma in Computational Data Analytics for the Social Sciences & Humanities (CDASH), and the Acting Executive Director of the Cybersecurity & Privacy Institute. In 2014 he was recognized for his innovations in teaching and mentoring of students with the University Award for Distinguished Teaching.
He has published research on the relationship between higher cigarette taxes and smoking, the impacts of market power on prices charged to consumers and firm level productivity and innovation, and the effects of higher minimum wages on employment and poverty. His current work has focused on: using advanced Machine Learning models in the analysis of non-pharmaceutical interventions and vaccinations on the spread of COVID-19 and identifying best Emergency Room protocols to reduce readmissions from cardiac arrests; constructing welfare tests for socially efficient data sharing; the economics of data markets and privacy; studying human-computer interaction in the context of cybercrimes; and understanding societal trends in trust, and misinformation.
His research has been published in peer reviewed journals such as the Review of Income and Wealth, Canadian Journal of Economics, Journal of Law and Economics, Journal of Health Economics, Health Economics, Journal of Medical Internet Research, Journal of Regulatory Economics, International Review of Law and Economics, Labour Economics, and Canadian Public Policy, and has been extensively covered by The Globe and Mail, The Financial Post, CBC, and The Toronto Star.