Provost Diversity Fellow: Nicholas Deas

Headshot of Nicholas Deas

Nicholas Deas, PhD candidate

Department and School
Computer Science, Columbia Engineering

Nick Deas is broadly interested in Natural Language Processing and developing methodologies that are more robust to noisy, unstructured textual data as found on social media. Additionally, Deas is interested in the intersection of Natural Language Processing and the social sciences, particularly Psychology, Political Science, and Sociology. Before coming to Columbia University, Deas earned a BS in Computer Science and a BS in Psychology from Clemson University in 2022, researching the application of Natural Language Processing to political tweets and online mental health support communities as well as information extraction for online texts. Deas is now also an NSF Graduate Research Fellow and Presidential Fellow in Computer Science as he begins his doctoral studies.

Kathleen McKeown, Henry and Gertrude Rothschild Professor of Computer Science; Founding Director of Columbia's Data Science Institute

Favorite self-care ritual
Piano and Guitar

Recommended book 
1984 by George Orwell

To learn more about Nicholas Deas, please follow him on Twitter, connect via LinkedIn or email him directly.