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13 January 2021: If you work with text data, you might be interested in my working paper with Ke-Li Chiu ‘On consistency scores in text data with an implementation in R’, available here: https://arxiv.org/abs/2101.05225.

Hi, I’m Rohan Alexander.

I am an Assistant Professor in Information and Statistical Sciences (jointly-appointed) at the University of Toronto, Canada. I am a faculty affiliate at the Schwartz Reisman Institute for Technology and Society.

My academic work typically involves first constructing new datasets in a reproducible way, drawing on methods including digitization, record matching, survey collection, and web-scraping. I then use quantitative methods to analyse them, drawing on techniques from natural language processing, machine learning, and Bayesian methods, as appropriate. As my work is focused on individuals, issues of privacy and consent are of critical importance, and exist within my broader research interests at the intersection of data and ethics. My research group exists to bring this all together and provide opportunities for the training of undergraduate and graduate students.

I enjoy teaching and aim to help students from a wide range of backgrounds learn how to tell stories with data. In Winter 2021 I am teaching ‘Experimental Design’ in Information and leading a reading course ‘Ethics and Data Science’. In Statistical Sciences I have taught ‘Surveys, Sampling, and Observational Data’. I am an RStudio Certified Tidyverse Trainer.

I co-organize the weekly Toronto Data Workshop, which is more fun than it sounds. All welcome! Sign up here.

I am organizing a conference on reproducibility in applied statistics that will be held via Zoom on Thursday and Friday 25-26 February 2021. You can learn more here.

Finally, I probably spend too much money on books, and certainly too much time at libraries (in a pre-COVID world). You can see some of the books that I recommend here. If you have any book recommendations of your own, I’ve love to hear them.

Academic CV