Data Science
Student Research

The Data Science Department provides many student research opportunities, below are some student research experiences in Data Science from the last 24 months.

Research Experiences: Spring 2023 Soorya Baliga. AI Aneurysm Lab. Hieu Nguyen. Undergrad, Academic. Tarosh Gurramkonda. Variational Autoencoders. Silvija Kokalj-Filipovic. Undergrad, Academic. Summer 2022 Maria Lentini. Interpretable Modeling for Revenue Optimization. Umashanger Thayasivam. Grad, Academic. Thesis I, Spring 2022 Weidner Benjamin. 3DUI for Immersive Analytics. Bo Sun. Grad, Academic. Lucas Grebe, Alisa Patel, Jonathan Witkowski. Identifying Factors for Readmissions in Local Hospitals. Anthony Breitzman. Grad, Industry Based. Data Mining II (Grad), Maria Lentini. Interpretable Modeling for Revenue Optimization. Umashanger Thayasivam. Grad, Academic. Thesis I, Jennifer Leach. Machine Learning Techniques to Optimize Fraud Detection. Umashanger Thayasivam. Undergrad, Academic. Gulsum Alicioglu. Visual Based Storytelling for Neural Architecture Search with Reinforcement Learning. Bo Sun. Grad, Academic. Fall 2021 Jennifer Leach. Machine Learning Techniques to Optimize Fraud Detection. Umashanger Thayasivam. Undergrad, Academic.