I am an Assistant Professor, Teaching Stream in Statistical Sciences at the University of Toronto and the Director of Data Science Programs.
I received my Ph.D. in statistics from the University of Toronto. I work on: innovations in statistics education that involve student motivation and engagement with an emphasis on experiential learning; and projects that involve statistical design, data analysis, and communication. These projects have been in a number of areas including medicine, law, journalism, and ecommerce.
Fall 2017: STA220 - Course coordinator. Fall 2017 information about different sections of STA220 is available here.
Fall 2017: STA4002HF - Data Science, Collaboration, and Communication (grad). The course website is available here here.
This course takes an introductory approach to machine learning in digital humanities topics. Participants will learn essential concepts in machine learning and use machine learning tools to collect and analyze literary, historical, and social media data sets using a number of machine learning approaches. The course will include an optional introduction to the R programming language; knowledge of this language will provide students with an opportunity to develop their own machine learning algorithms. In addition to the technical dimension of machine learning, we will also discuss the hermeneutic challenges posed by machine learning to the digital humanities, particularly as technical decisions enable specific ways of engaging in humanities scholarship: In what ways do DH scholars need to be cautious about the 'results' offered by machine learning algorithms, and what is the relationship between those results and humanities forms of knowledge?
Class notes can be found here.
Check out a draft of my book on the Design of Experiments and Observational Studies here.
Class website can be found here.
account_balance Department of Statistical Sciences
Sidney Smith Hall
100 St.George Street
Toronto, Ontario, Canada
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