Current Students

• Thomas Arnold, Masters Thesis, Sc.M. Biostatistics.
• William (Zehao) Qian, Masters Thesis, Sc.M. Biostatistics.
• Yingqiu Huang, Masters Project, Sc.M. Biostatistics.
• Seehanah Tang, Honors Thesis, Sc.M. Applied Math and Computer Science.
• Jania Vandevoorde, Senior Capstone, Sc.M. in Computer Science and Statistics.
• Benjamin Moshes, Senior Capstone, Sc.M. in Applied Math-Econ and Statistics.
• Nicolas Fernandez Baigun, Senior Capstone, Sc.M. in Computer Science and Statistics.

Past Students

• Hannah Eglinton, A Computationally Efficient Algorithm for Producing Risk Score Models with Applications to Tuberculosis Diagnosis and Treatment Adherence, Masters Thesis Award Winner, Sc.M. Biostatistics, 2024. Envisagenics.
• Yu Yan, Integer Risk Score Models, Masters Thesis, Sc.M. Biostatistics, 2024.
• Kameel Dossal, Reinforcement Learning for Best Subset Optimization, Honors Thesis, B.S. Statistics, 2024. PhD Student at UT Dallas.
• Shreyas Mishra, Using Reinforcement Learning for Variable Selection in the Branch and Bound Algorithm for Solving Mixed Integer Linear Programs, Honors Thesis, B.S. in Computer Science, 2024.
• Morgan Cunningham, Analyzing and Comparing Ridership Across Routes for RIPTA, Capstone Project, B.S. Statistics, 2024. Masters Student in Biostatistics at Brown University.
• John Chung, Implementing Features in R for Analysis of RIPTA’s Monthly Bus Ridership, Capstone Project, B.S. in Computer Science and Statistics, 2024. Salesforce.
• Kyla Finlayson, Predicting and profiling post-COVID syndrome using machine learning methods, Masters Project, Sc.M. Biostatistics, 2023. Cerner Enviza.
• Kyran Flynn, Equitable redistribution of dockless shared mobility systems, Honors Thesis and INFORMS Undergraduate Research Award Finalist, B.S. Applied Math and Computer Science, 2023. Ph.D. Student at Columbia University.
• Antonella Basso, Realizing fairness in prediction using causal inference, Masters Project, Sc.M. Biostatistics, 2023.
• Tongtong Zhao, Algorithms for clinical risk score prediction models, Masters Project, Sc.M. Data Science, 2022. Citizens Bank.
• Toby Dekara, Reinforcement learning for best subset variable selection, Masters Thesis, Sc.M. Biostatistics, 2022. Health Data Analytics Institute.
• Cassandra Overney, Analysis of bike-share systems relationship with public transportation and an analysis of Providence's dockless shared mobility systems, Undergraduate Research, B.S. Computer Science, 2021. Ph.D. Student at MIT Media Lab

Interested Students

Research Opportunities: I am currently looking for students with a background in optimization, operations resarch, or prescriptive analytics for Summer 2025! The Rhode Island Public Transit Authority (RIPTA) is the primary transit service within Rhode Island. The planning, scheduling, and data analysis teams within RIPTA use past ridership data to drive future operational decisions. This project will use this data to help support RIPTA's mission of providing reliable and cost-effective service across the community by developing a data-driven way to maximize service under resource constraints. A key objective will also be to make this decision-making tool transparent and explainable to the public. This work is supported by a DSI Seed Grant.

If you are a current student at Brown and are interested in thesis or research opportunities, please email with a CV and your coursework in statistics, applied math, and computer science.