Her research focuses on incorporation of artificial intelligence into real-world analytic tools. The applications vary from automatic high throughput data curation, phenotyping, specific cohort discovery, estimation of population level disease burden to discovery novel materials. She is serving as Informatics lead for NU division of Chicago Area Patient Centered Outcomes Research Network and for selected collaborative projects.

Dr. Furmanchuk received her PhD in computational chemistry from Jackson State University, MS. She received her trainings in modeling and data mining with Los Alamos National Laboratory, Chemistry Department, and later with Department of Engineering and Computer Science at Northwestern University.