Dr. Najarian’s research focuses on signal / image processing and machine learning to assist in clinical decision making to improve healthcare and reduce costs.

What drew you to MiCHAMP?

Even though I was already working with a number of MiCHAMP members prior to establishment of the group, I believe the collaborative environment provided by MiCHAMP as well as the “practical” approach in directing discussions during the MiCHAMP meetings has helped forming more focused collaborations among the members.

What specific expertise do you bring to MiCHAMP?

My field of research is computational medicine and data sciences applied to clinical applications. Considering the fact that essentially all problems in today’s medicine could greatly benefit from a meaningful and targeted use of data sciences, my goal is to discuss, explore and potentially tackle some of challenges faced by the clinical researchers in the group.

What are your research interests and how do they tie into MiCHAMP?

The main objective of the research projects in my lab, Biomedical and Clinical Informatics Lab (BCIL), is design of algorithmic solutions for challenging problems in medicine that if properly addressed would have an immediate and clear impact on the quality of care provided to patients. As such, our systematic and focused interaction with the clinical experts in the group would give both sides the opportunity to design solutions to some major problems in medicine.