Data Science

In this section, research focuses on the use of mathematic and statistical modeling to extract insights into data for better healthcare.

Solving the two population SIR model to provide early estimates of peak and duration of a COVID-19 wave Presented by: Louis Luangkesorn, PhD, Highmark Health, 1/5/2023

Mathematical Modeling and Data Science Methods in Dynamics of the Tear Film on the Eye’s Surface Presented By: Richard Braun, PhD, MS, BS, University of Delaware 1/6/2022

Wastewater and Pathogens: Using the Past to Inform the Future Presented by Kalmia Kneil, PhD, University of Delaware, 10/7/21

Post-hoc Mixture Models of the Best Linear Unbiased Predictors (BLUP) From Linear Mixed-Effects Models: An Approach for Clustering Unbalanced Longitudinal Data with Irregularly Spaced Intervals Presented by Md Jobayer Hossain, PhD, Nemours, 6/3/2021

Shoulder Arthroplasty and Outcomes Presented by Jeremie Axe, MD, Christiana Care, 6/29/18

Engaging Stakeholders in Research Using Online Crowdsourcing Methods Presented by Erica Sood, PhD, Nemours, Alfred I. duPont Hospital for Children, 4/27/18

Health Plan Research Networks: How Health Plan Data Can Close Gaps in Data for Patient-Centered Outcomes Research Presented by Kevin Haynes, PharmD, MSCE, HealthCore, Inc.,1/19/18

Privacy-protecting Technologies for Collaborative Research Presented by Anand Sarwate, PhD, Rutgers University, 11/23/15

Stay Connected

Join the ACCEL newsletter and keep up to date with the latest news, events and funding opportunities!

[yikes-mailchimp form="1"]