an experienced methodologist and former assistant professor with expertise in program evaluation, mixed-methods research, survey methodology, social network analysis, data visualization, and both qualitative and computational text analysis
Program evaluation integrating traditional and machine learning methods |
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Quantitative, qualitative, and mixed-methods research |
programming |
Statistical modeling and inference |
Data visualization |
Survey methodology spanning design, deployment, and analysis |
Interpretive and computational text analysis |
Social network analysis |
Technical writing and markup using |
Web application development and reporting using: |
Earned a Ph.D. in Learning Sciences and Human Development in 2023 |
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Earned a Master of Arts in Educational Psychologyin 2020 |
Assistant Clinical Professor & Assistant Director at The University of Maryland Office of Undergraduate Research |
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Abilities in data wrangling, statistics, reporting, and visualizations (R/Rmarkdown) |
Expertise in quantitative, qualitative, and mixed-methods |
Skilled in text mining, analytics, and content analysis |
Earned a Master of Arts in Educational Psychology in 2023 |
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Associate Program Evaluation Specialist, University of Pittsburgh-PERU |
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Expertise in program evaluation and computational statistics |
Skilled in participatory evaluation, research methodology, and survey design |
Earned a Master of Arts in Educational Psychology in 2023 |
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Inter-Professional Education (IPE) Project Manager/Simulation Research Coordinator |
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Expertise in experiential learning, healthcare simulation, and interprofessional education |
Skilled in policy development, program evaluation, research design, and survey design |
Who? | Seidel, T. , Ferguson, C.F., & Roy, A.R. |
What? | Evaluation 2022 |
Where? | New Orleans, LA |
When? | Wed, November 9, 6:30pm to 8:30pm EST @ Hyatt Regency |
Why? | To present our paper Let’s Get Sentimental: Machine Learning Aided Data Analysis for Large Qualitative Data Sets |