a former assistant professor and current methodologist with expertise in program evaluation, survey design, social networks, data visualization, and mixed methods text analysis
| Content, cluster, and social network analysis |
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| Data visualization |
Markup using $\LaTeX$ |
| Program evaluations integrating both traditional and machine learning methods |
| Quantitative, qualitative, and mixed method studies |
| programming |
| Small- and large-scale survey design, administration, and research |
| Statistical modeling and analysis |
| Program evaluation methods using machine learning techniques |
| Web application development and static/dynamic 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 |
