Data Analytics
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For questions or information, please contact:

Maryalice Wu
Director of Data Analytics
Center for Innovation in
Teaching & Learning
(217) 244-0937
Meet Our Staff

Maryalice Wu

Maryalice Wu, CITL

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 Owens

Dawn Owens, CITL

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.

Kit Santa Ana

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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 Cunningham

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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.

Qingyu Bu


Qingyu is a Ph.D. student in the Department of Sociology at Illinois. His research interests focus on the distribution of educational resource across urban areas. He is currently developing his potential thesis on gentrification effect from Chicago Charter School system. He is also working on a project which investigates the career destination for international students. Qingyu was a graduate teaching assistant for SOC 100 and SOC 380. He works most often with SPSS, STATA, but also works with HLM. Qingyu has an M.A. in Public Sociology from Saint Louis University and a B.S. in Mechanical Engineering from Purdue University.

Tolgahan Dilgin


Tolgahan is a Ph.D. student in the Department of Political Science. He has had an M.A. in International Development at the International University of Japan, and another M.A. in Political Science at Michigan State University. Currently, his dissertation project utilizes game theory to examine varying equilibria political parties reach when they use violence as a strategy to win elections. He is comfortable with Stata, R, Latex, Qualtrics and Mathematica.

Yang Du


Yang Du is a statistical consultant at the Center for Innovation in Teaching and Learning. She is currently a fourth-year doctoral student in Educational Statistics and research design. She earned her master’s degree in statistics from U of I and a master’s degree in educational linguistics from the University of Pennsylvania. Her research interest includes adaptive testing and learning, response time modeling, test security, Bayesian methodology, and machine learning algorithms. She is experienced in analyzing both structured and unstructured data, such as images and texts. She has well-working knowledge of R, Python, C++, as well as database querying languages such as SQL, MongoDB, and Neo4j.

Selim Havan

Selim is currently a third-year doctoral student in the Department of Educational Psychology with a specialization in QUERIES. He earned his master’s degree in Quantitative Methods from The University of Texas at Austin. His research interests are related to educational measurement and statistic, including Structural Equation Modeling (SEM) and Item Response Theory (IRT). He works primarily with R and SPSS. 

Gargee Jagtap

Gargee Jagtap, CITL

Gargee is a junior studying math, statistics, and data science. She likes exploring different patterns in data, and in her free time is working on getting her yoga teaching certification. She also loves traveling, hiking, and trying lots of different foods.

Justin Pierce

Justin Pierce, CITL

Justin is a Ph.D. student in the Department of Political Science at Illinois. He studies International Relations and his research interest is in the European Union, especially decision, legislation and policy making in the European Council of Ministers and the European Parliament. He is currently in his third year of his program and his finishing up his coursework. He most often works in R, but also works with Stata and SPSS. He has an M.A. in Political Science from Villanova University and a B.A. in International Relations from Saint Joseph's University.

Selina Lin


Selina is a data analytics intern at CITL and an undergraduate student spending her fourth year studying Information System and Accountancy. She likes working on various data projects and loves traveling in her spare time.

Kevin Terwilliger

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Kevin is an undergraduate student in his third year studying Economics and Statistics at Illinois. As an intern at CITL, he works on the eText project, which aims to explore student interaction with online textbooks through analysis and visualizations in Splunk. He also works to program Shiny dashboard in R to visualize student surveys. He likes to dabble in data science and machine learning and spends most of his time using R, Python, and C++.

Julia Wapner

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Julia is a junior studying Statistics, Spanish, and Informatics. She enjoys working with data and creating visualizations. In addition to being a data analytics intern at CITL, she is a member of the group that does data analytics for the University of Illinois baseball team.