Dr. Geetha Saarunya, PhD, MS is an Assistant Professor with the Translational Center for Resuscitative Trauma Care in the Department of Surgery at the University of Minnesota, where she unites computational epidemiology and precision health to turn large scale data into actionable insights for trauma and other complex-disease care.
After earning degrees in engineering (BS), molecular biology (MS), and integrative biology (PhD), Dr. Saarunya returned to academia to start her PhD in 2016 following a six-year caregiving hiatus. She then received a two-year NIGMS fellowship designed to increase the number of women data scientists on clinical career paths, training in the laboratory of Dr. Nima Aghaeepour at Stanford University. There she refined multi-omics integration, feature engineering, and machine-learning methods to forecast patient trajectories from Genetics, Proteomics, transcriptomics, metabolomics, and immune-profiling datasets.
Over the past nine years Dr. Saarunya has generated and interrogated extensive high-dimensional omics and clinical datasets, identifying biomarkers and therapeutic targets that advance both population-level risk prediction and patient-specific intervention.