Simulations Reveal An Unusual Death for Ancient Stars
To Bridge LEDs’ Green Gap, Scientists Think Small
Image Recognition to Speed Cervical Cancer Screenings
The Machine Learning & Analytics Group conceives, designs, and implements new methods in high-performance machine learning, data and image analytics, computational geometry and topology, and visualization technologies. Our work involves a mix of theoretical research and applied research. The group works in close collaboration with scientific partners to identify and address challenging, large-scale, data-rich problems emerging from simulations, experiments, and observations.
Group Leader: Wes Bethel