Jeffrey Girard, Ph.D.

- Assistant Professor
- M. Erik Wright Scholar
- Program Director, Brain, Behavior & Quantitative Science Program
- Co-Director of the Kansas Data Science Consortium
Contact Info
Lawrence
1415 Jayhawk Blvd.
Lawrence, KS 66045
Biography —
Dr. Girard studies how emotions are expressed through verbal and nonverbal behavior, as well as how interpersonal communication is influenced by individual differences (e.g., personality and mental health) and social factors (e.g., culture and context). This work is deeply interdisciplinary and draws insights and tools from various areas of social science, computer science, statistics, and medicine.
Education —
Research —
- Affective Communication
- Affective Computing
- Clinical Assessment
- Interpersonal Functioning
- Transdiagnostic Psychiatry
- Technology in Psychology
- Statistics and Machine Learning
Teaching —
- Data 2: Foundations of Data Science (DASC 399)
- Statistical Methods in Psychology I (PSYC 790)
- Data Science in the Social and Behavioral Sciences (PSYC 792)
- Multilevel Modeling (PSYC 894)
Selected Publications —
Girard, J. M., Yermol, D. A., Salah, A. A., & Cohn, J. F. (2025). Computational analysis of expressive behavior in clinical assessment. Annual Reviews in Clinical Psychology. https://osf.io/preprints/psyarxiv/uf4nq_v1
Girard, J. M., Yermol, D. A., Bylsma, L. M., Cohn, J. F., Fournier, J. C., Morency, L., & Swartz, H. A. (2025). Dynamic and dyadic relationships between facial behavior, working alliance, and treatment outcomes during depression therapy. Journal of Consulting and Clinical Psychology. https://doi.org/10.31234/osf.io/b2a87_v1
Chung, Y., Girard, J. M., Ravichandran, C., Öngür, D., Cohen, B. M., & Baker, J. T. (2025). Transdiagnostic modeling of clinician-rated symptoms in affective and nonaffective psychotic disorders. Journal of Psychopathology and Clinical Science, 134(1), 81–96. https://osf.io/preprints/psyarxiv/uygte_v1
Agrawal, V., Akinyemi, A., Alvero, K., et al. (2025). Seamless interaction: dyadic audiovisual motion modeling and large-scale dataset. arXiv:2506.22554 [cs.CV] https://arxiv.org/abs/2506.22554
Kebe, G. Y., Girard, J. M., Liebenthal, E., Baker, J. T., De la Torre, F., & Morency, L. (2025). LlaMADRS: prompting large language models for interview-based depression assessment. arXiv:2501.03624 [cs.HC] https://arxiv.org/abs/2501.03624
Service —
- President of the Society for Interpersonal Theory and Research (2024-2025)
- Associate Editor of IEEE Transactions on Affective Computing
- Associate Editor of Collabra Psychology
- Director of the Brain, Behavior, and Quantitative Science PhD Program
- Co-Director of the Kansas Data Science Consortium