Postdoctoral Fellowship
New DSI Postdoctoral Fellow, Abbie Petulante
Sep. 20, 2022—We’re pleased to be able to introduce Abigail (Abbie) Petulante as a new DSI Postdoctoral Fellow! Abbie received her PhD in Astronomy this year at Vanderbilt where she applied a wide variety of machine learning and deep learning techniques to model the development of large structures comprised of dark matter in simulations of the evolution...
New DSI Postdoctoral Fellow, Joshua Su
Sep. 20, 2022—We’re pleased to be able to introduce Zhaoqian (Joshua) Su as a new DSI Postdoctoral Fellow! Joshua comes to us from the Einstein College of Medicine where as a Postdoctoral Fellow he applied deep learning to problems related to the formation protein structures such as peptide fibrils. As a member of the DSI Data Science...
MOUD Disparities
Aug. 24, 2021—Medications for treatment of opioid use disorder are important for the health of mothers and their newborns – they can prevent overdose death and may prevent preterm birth. Yet, there are many barriers to obtaining treatment, especially for pregnant people and people relying on Medicaid insurance coverage. Laura Henkhaus, PhD, a postdoctoral scholar at the...
Improving Ultrasound Image Quality with Deep Learning
Aug. 6, 2021—Ultrasound remains an invaluable tool for clinicians because it is real-time, cost-effective, and portable. However, poor image quality can make diagnostic and guidance tasks with ultrasound unreliable (e.g., tumor and gallbladder boundaries difficult to see in left most figure). Machine learning techniques applied to ultrasound data have had great success for improving image quality. Among...