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Maryalice is the Director of Data Analytics at the Center for Innovation in Teaching and Learning and an adjunct assistant professor in the Department of Sociology. She has a Ph.D. in Sociology from Illinois and has been working in statistical consulting at the University since 1999. Her recent research focuses on the economic and health empowerment of women in developing nations. Her other projects relate to program evaluations in academia, including research on the impact of MOOCS (Massive Open Online Courses). She has taught several courses at Illinois, including Introduction to Social Statistics (SOC 280) and Social Research Methods (Soc 380).
Dawn is the Senior Data and Survey Scientist at CITL and the University's official representative to the Inter-university Consortium for Political and Social Research (ICPSR). She has an M.A. in Sociology from Illinois and has worked in the data group (and its former incarnations) in various capacities since 1989. She manages learning analytics data from several sources, helps administers several campus surveys, and provides social science data to members of the university community. She also provides consulting on data management and programming.
Since graduating from Illinois with a B.A. in Economics, Kathleen has taken on the role of Data & Survey Scientist in the Data Analytics unit of CITL. This role focuses on cleaning and coding data for analysis, producing recurring summary statistical reports, and programming online data collection tools. She has a well-working knowledge of SPSS, Python, LaTeX, XML, and their various applications in streamlining data cleaning and reporting. She also has experience in managing and harmonizing datasets across multiple time points (longitudinal and milestone data), multiple survey revisions, and multiple modes of implementation.
Paige is the Postdoctoral Research Associate with CITL's Data Analytics group. She has both an M.S. and Ph.D. in Library and Information Science and an M.A. in Interdisciplinary Studies. At CITL, she works on data collection, preparation, management, and documentation for a variety of projects including online program evaluation and Illinois’ Coursera learning analytics assessment. She is also part of the Illini Success data analysis team shared between CITL and the Career Center.
Aleena Khan is a Ph.D. student in the Department of Political Science at Illinois. Her current academic research focuses on understanding American identity and perceptions of anti-Americanism in the United States. Aleena is also an Associate Policy Researcher at Princeton University’s Bridging Divides Initiative, where she works on tracking threats and harassment to local public officials across the United States. Before coming to Illinois, Aleena worked as. Research Assistant at the Human Services Research Institute in Cambridge, Massachusetts and earned a B.A. in political science from Simmons University. Her expertise lies in survey design and survey experiments using Qualtrics. She also has experience with some Qualitative methods (interviewing and Q-sort), database querying using SQL, creating basic dashboards in Tableau and R Shiny, as well as inferential statistics in R and Stata.
Maggie Zhang is a Ph.D. candidate at the Institute of Communications Research in Illinois. She is also a Master's student in Computer Science at UIUC. Her scholarship is at the intersection of computational social science, social computing, and political communication. Her research combines natural language processing and computer vision methods as well as experiments to look into the media effect on people’s opinions and behaviors. She is proficient in R, and Python. She is also familiar with (quasi-) experiment design and big data analysis.
Nathan is a Ph.D. student in the Department of Sociology who enjoys working with both quantitative and qualitative data. He has experience programming, managing, and exporting surveys, and is deeply involved in the transition to a campus-wide Qualtrics license. For the transition, he has co-written R scripts and API calls and learned the ins and outs of the Qualtrics platform. He also has experience in creating ggplot2 graphics and basic Tableau dashboards, and has run inferential statistics in Stata, SPSS, Excel, and jamovi. His non-academic interests include crocheting, baking bread, and playing Pokemon GO with his spouse.
Chu Chu is a Ph.D. candidate in Industrial-Organizational Psychology with a minor in Quantitative Psychology. She has been a dedicated Illini since 2012, and obtained her B.S. and M.S. at UIUC. Outside of academia, she has also worked as a statistical consultant for the Human Resource Research Organization, Eskalera Inc., and Discovery Partners Institute in Chicago. She is an experienced survey researcher, and is proficient in using R, Mplus, SPSS, and Python for conducting structural equation modeling, longitudinal analysis, multi-method measurement, multivariate analysis, statistical learning, and natural language processing.
Lizzy is a dedicated Ph.D. student in the Department of Educational Psychology who possesses a profound enthusiasm for untangling intricate data puzzles. With a strong foundation in quantitative methods, Lizzy excels in a wide spectrum of statistical techniques. Her expertise extends from fundamental tools such as Chi-square tests, t-tests, and ANOVA, to the realms of advanced methodologies, including Regression (linear and logistic), Item Response Theory (IRT), Structural Equation Modeling (SEM), and Latent Growth Models. Lizzy's proficiency in these techniques is bolstered by her adeptness with statistical software tools like SAS, Stata, HLM, and R.
Hahyeong is a PhD student from Educational Psychology, specializing in Quantitative and Qualitative Methodology, Measurement, and Evaluation. Her research interests lie in methodological topics, including measurement invariance, non-linearity and small sample sizes, in structural equation modeling, and measurement theories of detecting aberrant behavior in a test. She currently works as a research assistant and a student consultant of statistical analysis at the Center for Innovation in Teaching & Learning (CITL). For statistical software, personally, Hahyeong prefers to use R, Mplus, and if necessary, SPSS too. Before joining CITL, she was a teaching assistant of quantitative method courses in Educational Psychology.
Anqi is a Ph.D. student in the Department of Psychology. She studies quantitative psychology, and her research interests focus on latent variable modeling, including item response model and cognitive diagnostic model, Bayesian estimation, as well as other statistical application in educational assessments. She works primarily with R, and also C++. Anqi has an M.S. in Statistics from UIUC.
Yuchen is a master’s student in Statistics with a concentration in analytics. He has also completed a B.S. in Statistics and Economics with a minor in Computer Science here at Illinois. He specializes in data analytics, time-series forecasting and predictive analysis using machine learning techniques as well as developing interactive dashboards using R Shiny and Python Plotly for data visualization. In addition to R and Python, he is also proficient in C, SAS and SQL.
Shrey is a master’s student in Information Management with a specialisation in data science and analytics. He graduated with a B.E. in Computer Engineering from the University of Mumbai in India. Shrey has worked as a software developer in a corporate setting for the Barclays organization. He specialises in software development, data analytics, and machine learning techniques, as well as creating intuitive and navigable dashboards using Tableau, PowerBI, and Python Plotly. In addition to R and Python, he is also familiar with Java, SQL, and shell scripting.
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