Rohan Alexander

Assistant Professor (cross-appointed with Faculty of Arts & Science, Department of Statistical Sciences)

Email: rohan.alexander@utoronto.ca

Office: BL 637

Website: https://rohanalexander.com/

Rohan Alexander is an Assistant Professor in the Faculty of Information and the Department of Statistical Sciences. Prior to joining the Faculty of Information, he completed a PhD at the Australian National University, started a business, and worked at the Australian central bank. His research interests tend to fall into one of three tranches: workflow analysis, text-as-data, and multilevel regression with post-stratification.

Research

Rohan’s background and research are multidisciplinary but fall broadly in the realm of using data science approaches to explore questions in economics, history, and politics. Rohan’s research typically involves first constructing new datasets from historical and other sources in a reproducible way, drawing on methods of digitization, record matching, survey collection, and web scraping. After constructing datasets, Rohan then typically uses quantitative methods to analyse the large amounts of information contained in them, drawing on techniques from text analysis, statistical learning, and Bayesian methods, as appropriate. As Rohan’s work is focused on individuals, issues of privacy and consent are of critical importance, and inform all aspects of his research. Additionally, he contributes to open science best practises to ensure both reproducibility and replicability.
Specializations

Text analysis, reproducible workflows, and applied statistics.
Publications

Selected Article:

Rohan Alexander and Zach Ward, 2018, ‘Age at Arrival and Assimilation During the Age of Mass Migration’, The Journal of Economic History, 78(3), 904-937. Working paper version.
Courses
- INF2178: Experimental Design for Data Science
- STA304: Surveys, Sampling and Observational Data

Rohan Alexander

Rohan Alexander

Research

Specializations

Publications

Courses