Five Masters of Science in Data Science students, three alumni, and a staff member from the University of Virginia’s Data Science Institute presented at the 2018 Tom Tom Founders Festival Applied Machine Learning Conference.

Joining Separate Paradigms: Text Mining & Deep Neural Networks to Characterize Cell Type in the Cortex and Hippocampus

MSDS '18 students Caitlin Dreisbach, Morgan Wall, and Ali Zaidi presented a talk based on their capstone project, an integral part of the MSDS program at the Data Science Institute.

A Modified K-Means Clustering Approach to Redistricting U.S. Congressional Districts

MSDS '18 student Jack Prominski presented a talk on using data science to more equitably draw congressional district boundaries in the United States.

Training Drone Image Models with Grand Theft Auto

CCRi Data Scientist and MSDS alumna Monica Rajendiran ('17) presented a talk about using video games in machine learning applications.

How to Beat the House: Predicting Football Results with Hyperparameter Optimization

MSDS student Abhimnayu Roy ('18) presented a talk highlighting how data science can be used to predict results in sporting events.