Cassie Mitchell’s research goal centers around expediting clinical translation from bench to bedside using data-enabled prediction. Akin to data-based models used to forecast weather, Cassie’s research integrates disparate, multi-scalar experimental and clinical data sets to dynamically forecast disease. Cassie is the principal investigator of the Laboratory for Pathology Dynamics, which uses a combination of big data, machine learning, biostatistics, and informatics-based techniques to identify complex disease etiology, predict new therapeutics, and optimize current interventions. Cassie’s research has predominantly targeted neuropathology, but her research applications in predictive medicine expand across all clinical specialties, including cancer, pediatrics, and cardiovascular medicine.
Velda Wang is a co-lead author on the paper in Brain Sciences
First round of funding awarded to eight multi-disciplinary teams from Georgia Tech and Emory
Undergraduate researchers help Cassie Mitchell turn millions of studies into actionable insight