I am a computational social science researcher who is passionate about using data science and machine learning for the common good. I have expertise in a variety of different areas including social media research, misinformation spread, media literacy programming, healthcare analytics, data mining, neural networks, and graphs. I am currently a PhD Candidate in the Weninger Lab at the University of Notre Dame.

Selected Publications


Thomas, Pamela Bilo, Daniel Riehm, Maria Glenski, and Tim Weninger. Behavior Change in Response to Subreddit Bans and External Events. arXiv preprint arXiv:2101.01793 (2021).

Media Literacy in Indonesia

William Theisen, Joel Brogan, Pamela Bilo Thomas, Daniel Moreira, Pascal Phoa, Tim Weninger, Walter J. Scheirer Automatic Discovery of Political Meme Genres with Diverse Appearances. Proceedings of the International AAAI Conference on Web and Social Media (ICWSM), January 2021.

GitHub Adoptions

Pamela Bilo Thomas, Rachel Krohn and Tim Weninger Dynamics of Team Library Adoptions: An Exploration of GitHub Commit Logs. IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), September 2019. (Long paper version available here)


Nagrecha, Saurabh, Pamela Bilo Thomas, Keith Feldman, and Nitesh V. Chawla. Predicting chronic heart failure using diagnoses graphs. In International Cross-Domain Conference for Machine Learning and Knowledge Extraction, pp. 295-312. Springer, Cham, 2017.

Thomas, Pamela Bilo, Daniel H. Robertson, and Nitesh V. Chawla. Predicting onset of complications from diabetes: a graph based approach. Applied network science 3, no. 1 (2018): 48.

Dissertation Proposal

My dissertation proposal occurred on March 19, 2020. Committee members included Dr. Julian McAuley, Dr. Meng Jiang, Dr. Dong Wang, and Dr. Tim Weninger.