The Computational and Statistical Inference (CSI) Lab is based on three pillars: mentorship (professional development), research (methodological or substantive), and programming (e.g., R, Python). We take on a variety of projects and are always open to consultation or collaboration. We have presented at local, regional, national, and international conferences!
Read more about the team below:
 |
Jacob Coutts, PhD, MAS - Head of the CSI Lab Jacob does research on statistical methods and creates packages to make these methods more accessible to applied researchers. He is interested in mediation & moderation analysis, power analysis, dyadic data, resampling methods, and data visualization. He has a passion for collaboration and mentorship. He also loves sports, stand-up, and movies. Contact: jjcoutts@umd.edu |
 |
Hana Lee - 3rd Year Social Data Science Student Hana is interested in social science research regarding public policy, transportation, and social inequality. After graduation, she wants to work as a data scientist and continue to do research. She is excited to be leading her own study on transportation at UMD and further develop her knowledge in data analysis and statistics.
Contact: hlee1241@terpmail.umd.edu |
|
Molly Goldstein - 4th Year Psychology Honors Student Molly is a fourth year psychology student in the Honors program. Contact: mgoldst9@terpmail.umd.edu |
|
|
Sarina Li - 3rd Year Social Data Science Student (Sociology Track) Sarina is a third year social data science student on the sociology track. Contact: sli12322@terpmail.umd.edu |
|
|
Jules Nefflen - 4th Year Psychology Student Jules is a fourth-year psychology student. Contact: jneffle1@terpmail.umd.edu |
CSI Lab Alum
Irene Navaleza (Lab Manager, Research Assistant)
Accolades: Excellence in Research Award (URD); Outstanding Accomplishments in Psychology
Current Position: PhD Student in Quantitative Psychology at the University of Oklahoma
----
Katy Lamb (Research Assistant)
Accolades: Outstanding Accomplishments in Psychology
Current Position: Consultant at ZS
----
Salma Younis (Research Assistant)
Accolades: Outstanding Accomplishments in Psychology
Current Position: Post-Bacc at NIDA
----
Projects the CSI lab has worked on...
Coutts, J.J., & Hayes, A.F. (2025). Measurement error- and heteroskedasticity-robust analysis of covariance. Poster presented at the Annual Meeting of the Canadian Psychological Association, Newfoundland, CA, 13 June 2025.
Navaleza, I., Coutts, J.J., Lamb, K., Younis, S., & Goldstein, M. (2025). The (less than great) state of quantitative training in psychology. Poster presented at the Annual Meeting of the Association for Psychological Science, Washington, DC, 24 May 2025.
Lee, H., Navaleza, I., & Coutts, J.J. (2025). Let’s take a ride: Predicting utilization of and positive experiences with public transportation. Poster presented at the Annual Meeting of the Association for Psychological Science, Washington, DC, 24 May 2025.
Lamb, K., Navaleza, I., & Coutts, J.J. (2025). Now and later: A time-series analysis of programming language trends in data analytics job postings. Poster presented at the Undergraduate Research Day, College Park, MD, 23 April 2025.
Goldstein, M.. Navaleza, I., & Coutts, J.J. (2025). No small measure: Scale development for pediatric ADHD stigma. Poster presented at the Psychology Undergraduate Research Day, College Park, MD, 23 April 2025.
Lee, H., Navaleza, I., & Coutts, J.J. (2024). Addressing the replication crisis: Can we close the gap with the bootstrap? Poster presented at the Student Undergraduate Research Conference. College Park, MD, 19 July 2024.
Lamb, K., Navaleza, I., & Coutts, J.J. (2024). From data to diagnosis: Machine learning advancements in autism screening. Poster presented at the Student Undergraduate Research Conference. College Park, MD, 19 July 2024.
Younis, S., Navaleza, I., & Coutts, J.J. (2024). Exploring non-motor symptoms in motor neuron disease. Poster presented at the Student Undergraduate Research Conference. College Park, MD, 19 July 2024.
Aflaki, D., Navaleza, I., & Coutts, J.J. (2024). Workplace wellness: Work stressors mediates the relationship between stress management programs and mental well-being. Poster presented at the Student Undergraduate Research Conference. College Park, MD, 19 July 2024.
Coutts, J.J. (2024). Course correction: A call for more effective quantitative pedagogy. Invited talk presented at the Rocky Mountain Methodology Academy. Calgary, CA, 17 July 2024.
Coutts, J.J. (2024). Research-supported approaches to addressing DEI in a methods-oriented class Poster presented at the Innovations of Teaching and Learning Conference, College Park, MD, 10 May 2024.
Navaleza, I., & Coutts, J.J. (2024). I’m worried I can’t do it all: Examining self-efficacy as a mediator between burnout and anxiety. Poster presented at the Psychology Undergraduate Research Day, College Park, MD, 22 April 2024.
Navaleza, I., & Coutts, J.J. (2024). Attention! Data Helps Diagnoses: A machine learning approach to predicting ADHD. Poster presented at the University of Maryland Research Fair, College Park, MD, 17 April 2024. (Outstanding research award winner.)
