Research Assistant Professor of Medicine, General Internal Medicine and Geriatrics Division, Feinberg School of Medicine
Al’ona specializes in computational chemistry and machine learning methods with an emphasis on predictive modelling. She applies supervised and unsupervised machine learning techniques to structured and unstructured data. She enjoys solving challenging projects, contributing to scientific understanding, writing articles, and converting predictive models into user-friendly web applications.
Key Projects: Next-D, eMERGE, ASH
View Al’ona’s NU Faculty Profile for publications, news, and more.
CHIP collaborators are part of the public, private and nonprofit sectors and have an interest in working toward a world where health outcomes are improved because data is used effectively.
Get in Touch