Technology Fellow

Ariella has a passion for applying predictive modeling techniques to genomic data in order to better understand complex diseases. Centering her work around a systems biology approach, she has built applied data science teams, and has led research on cardio-metabolic disorders, alzheimers, and food allergies that has been published numerous times. Ariella’s drive stems from personal loss, and is what fuels her to further modern healthcare transformation.

Ariella completed her BS in Biomedical Engineering and Applied Mathematics & Statistics from the Johns Hopkins University and her PhD in Genomics from the Icahn School of Medicine at Mount Sinai under Dr. Eric Schadt.