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: Lentini Lentini. Interpretable Modeling for Revenue Optimization. Grad, Academic. Thesis I, Summer 2022 Weidner Benjamin. 3DUI for Immersive Analytics. Grad, Academic. Spring 2022 Lucas Grebe, Alisa Patel, Jonathan Witkowski. Identifying Factors for Readmissions in Local Hospitals. Grad, Industry Based. Data Mining II (Grad), Spring 2022 Lentini Lentini. Interpretable Modeling for Revenue Optimization. Grad, Academic. Thesis I, Spring 2022 Jennifer Leach. Machine Learning Techniques to Optimize Fraud Detection. Undergrad, Academic. Spring 2022 Gulsum Alicioglu. Visual Based Storytelling for Neural Architecture Search with Reinforcement Learning. Grad, Academic. Spring 2022 Jennifer Leach. Machine Learning Techniques to Optimize Fraud Detection. Undergrad, Academic. Fall 2021