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Meet Our Student Data Science Research Consultants

Research Computing Services offers consultations to help you with a variety of computing areas, including programming, working with data, and troubleshooting and optimizing workflows. Our consultants have backgrounds in a range of academic fields and are available to meet with researchers at all levels (undergraduate students, graduate students, postdocs, faculty, and staff) to answer questions and help accelerate your research.

We are pleased to introduce the students who have recently joined our team as data science research consultants:

Katie Evans is a PhD candidate in the Interdisciplinary Biological Sciences program. Her research uses the roundworm nematode Caenorhabditis elegans to investigate how drug responses among individuals is driven by genetic variation. She primarily uses R to tidy, analyze, and visualize data, but also enjoys developing pipelines and applications to streamline common processes.



Andrew Hall is a PhD candidate in Personality, Development, and Health as well as an MS student in statistics at Northwestern University. His research focuses on the ways in which personality impacts and predicts outcomes in the health and business domains using machine learning methods. He supports faculty and graduate student researchers in the broad domain of computational social science, focusing on the use of computational methods in R, Python, SQL, and SPSS. Andrew also assists in data visualization, experimental design, and predictive modeling.


Colby Witherup is a PhD candidate in Plant Biology and Conservation. She uses bioinformatics and phylogenomics to study the evolution of meiosis across the plant kingdom. Previously, she completed an MS degree at Northwestern, researching the genetic diversity of jackfruit throughout Bangladesh. She consults on questions involving Python and bioinformatics, and she enjoys helping others to streamline their analyses with pipelines and parallelization. She also recently began learning Spark and TensorFlow.


Laura Garcia is a PhD candidate in Political Science and she is also finishing her Masters in Statistics at Northwestern University. Her research interests are in the fields of Comparative Politics and Research Methodology. Within Comparative Politics, I am interested in the history of socio-economic inequality in Latin America. My interests in research methodology are broadly in the use of mixed-methods. In particular, I am interested in theories of causality associated with multi-methods research. I support faculty and students with research projects that involve computational and statistical methods in R and Stata, as well as data visualization.


If you would like to meet with one of our student or staff consultants to discuss anything from beginning coding questions to complex data wrangling problems, you can request a consultation.

If you are interested in joining our team as a student consultant, let us know!

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