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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 a doctoral candidate in the School of Information Sciences. Her research focuses on communication patterns between students in Coursera MOOC courses, examining the effects of course subject matter and format, payment, and specializations on levels and types of communication and on persistence within courses and specializations. At CITL, she works on data preparation and data management for Illinois’ Coursera learning analytics data. She has earned an M.A. in Interdisciplinary Studies and an M.S. in Library and Information Science.
Aishwarya (Ash) Rajesh is a doctoral candidate in clinical-community psychology. Her research broadly focusses on understanding the dynamic representations in the brain associated with self-regulation. Following this overarching goal, her research spans two inter-connected tracks. One line of research is aimed at clarifying the construct of self-regulation, including the various components that interact to generate dysfunctional self-regulation (especially in populations with traumatic brain injury). A second area of research aims to understand whether and how lifestyle interventions (such as attention-based mindfulness training and embodied-cognition-based theater acting) can promote self-regulation in aging and clinical populations. Within this context, Ash's statistical knowledge is related to datasets with multiple time points (including mixed models analyses) and machine learning to build predictive models. To this end, she works in R, Matlab, and Python.
Maria is a Ph.D. candidate in the Department of Anthropology at Illinois. Her research interests focus on the biomechanics of human movement and human evolutionary anatomy, and her dissertation research examines the biomechanical effects of body size differences in humans. Maria has an M.A. in Anthropology from the University of Cincinnati and also has a background in web/interaction design and visual communication. Maria works primarily with R, SPSS, MATLAB, and JMP.
Luis is a Ph.D student in the Division of Nutritional Sciences within the College of Agriculture, Consumer, and Environmental Sciences. As an interdisciplinary student, he also works primarily in the Department of Kinesiology and Community Health, within Applied Health Sciences, and in the Biomedical Imaging Center, within the Beckman Institute for Advanced Science & Technology. His research interests focuses on nutritional interventions in patients with end-stage chronic kidney disease on hemodialysis. Specifically, Luis is interested in the benefits of low-sodium diet in relation to blood pressure, cardiovascular disease, inflammation, and catabolism. He plans to complete a dietetic internship through the department of Food Science and Human Nutrition to become a Registered Dietitian Nutritionist. Luis currently has a B.S. in Healthcare Science/Nutrition from the University of Colorado and works in SPSS, SAS, Matlab, R, and Graphpad.
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.
Liqun is a Ph.D. candidate in the Department of Sociology at Illinois. Her research interests center on the intersection of gender and migration. Her current project is on the disparities of marital and educational outcome among rural-to-urban migrants in China. She was a graduate teaching assistant for a series of intro and intermediate level courses in social research methods and social statistics. In her own research and as a graduate consultant at CITL, Liqun works most frequently with SAS, Stata, and R. She has earned an M.A. in Sociology from the Peking University.
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++.
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.