Andrew Piper is Professor and William Dawson Scholar in the Department of Languages, Literatures, and Cultures and Director of the Bachelor of Arts and Science program at McGill University. He directs .txtlab, a laboratory for cultural analytics at McGill, and is editor of the Journal of Cultural Analytics.

His work focuses on using the tools of data science, machine learning, and natural language processing to better understand the nature of human storytelling.

He is the author of Enumerations: Data and Literary Study (Chicago 2018), which provides an introduction to the data-driven study of literature. His most recent book, Can We Be Wrong? The Problem of Textual Evidence in a Time of Data (Cambridge 2020), explores the limitations of traditional critical practices in literary studies and foregrounds the values that computational methods bring to the study of literature.

Recent articles using computational methods address questions of cultural capital and minor literature, non-linear storytelling, using machine learning to better understand narrativity, and the visual dimensions of the printed page.

His work on computational methods grows out of a longstanding interest in the history of how technology impacts reading. His first book, Dreaming in Books: The Making of the Bibliographic Imagination in the Romantic Age (Chicago 2009), was awarded the Modern Language Association Prize for a First Book and honorable mention for the Harry Levin Prize from the American Comparative Literature Association. This was followed by Book Was There: Reading in Electronic Times (Chicago 2012), which chronicles the embodied dimensions of reading over the past two-thousand years.

His work has appeared in The Atlantic, The New Republic, Public Books,The Guardian, Slate, Le Devoir, and he has appeared in interviews on the CBC, NBC News, the Financial Times, and La Presse.