2025

The 2025 Data Science Fellow Cohort brought together 12 students and faculty mentors to integrate data science across a wide range of fields, including language, literature, healthcare, and student engagement. 

Stiles Begnaud worked with Professor Stéphanie Gaillard to create a central website hub for French language learning, combining past fellows' assessment tools with a library of language learning resources. Jessie Chen and Julia Belle Reyfman, alongside Professors Linda Clark and Andras Zsom, built an introductory data science course based on DATA1030: Data Engineering for the Brown Executive MBA program. Jacqueline Culver refreshed Professor Karianne Bergen's DATA0150: Data Detectives course to align with student feedback and redesigned in-class activities and the final project. Suhaila Hashimi collaborated with Professor Latha Ganthi to build course activities for and streamline the Get Published Now course, with a focus on creation and best practices for data visualization. Working with Carlin Corrigan and Shelly Strunk from the Sheridan Center for Teaching and Learning,  Maryam Khademi analyzed Panopto (online lecture video) data for Brown's online masters programs to understand and improve student engagement. Sean Kim built an automated and interactive folksonomy network visualization tool for Dr. Jenna Morton-Aiken's ENGL1190M course to support weekly readings analyses and discussions. Wokring alongside Jacy Weems and with guidance from Dr. Alice Paul, Daniel Ma designed and developed an outline materials for a new qualitative content analysis course as well as tested and documented Brown's large-scale content-analysis pipeline using OSCAR, R, and SLURM scripts. Anika Mahns paired with Professor Peter Lipman to design and implement a conversational AI assistant named Isabelle Curve to assist biostatistics students in understanding and reviewing statistical concepts and articles. Joseph Oduro collaborated with Professors Elizabeth Chen and Neil Sakar to create resources and foundational quizzes covering topics such as EHR, CODIAC, Python, and UNIX commands to be used as pre-requirements for the AI in Health course. Sima Raha worked alongside Professor Pierre de Galbert to develop an interactive online applied statistics and research methods Quarto notebook in Stata for the Education department. Last but not least, Hung-Jen (Michael) Wang developed interactive visualization tools to understand fairness and bias in AI models for Nik Marda's DSIO2120 course.