Before joining SCI, Michael Miller Yoder was a Postdoctoral Researcher in the Software and Societal Systems Department at CMU, as well as a part-time instructor in computer science at Pitt. His teaching includes graduate-level CS courses and introducing machine learning to students outside of CS. Dr. Yoder’s teaching and research background is in natural language processing and computational social science, with applications in countering hate and extremism online.
- PhD, Carnegie Mellon University
Education & Training
- Best Reviewer Award, EMNLP 2023 Computational Social Science and Cultural Analytics
- Outstanding Reviewer Award, ACL 2021
- Best Poster Award, Student Research Symposium, Language Technologies Institute, Carnegie Mellon University (2019)
- Best Student Paper Award, International Joint Conference on Natural Language Processing (IJCNLP) (2017)
- NSF Graduate Research Fellowship (2015–2018)
- Audience Choice Award, Student Research Symposium, Goshen College (2013)
- President’s Leadership Award Scholarship, Goshen College (2009–2013)
Awards
Research Interests
Computational Social Science, Data Mining and Data Science, Natural Language Processing
