My research focus is on big data sets available through electronic health records; health informatics; and developing an efficient and scalable algorithm for variable selection and predictions. I am interested in examining the association of antibiotics and hemoglobin A1c (HbA1c) with mortality as well as prediction of Alzheimer's disease and substance abuse through medical history. I am also interested in examining the association of antibiotics and hemoglobin A1c (HbA1c) with mortality; and the risks to Post-Traumatic Stress Disorder among veterans.

With HAP graduate students, in collaboration with the Side-Out Foundation and the College of Science, I developed a metastatic breast cancer (MBC) portal created to capture a large array of information from the Side-Out sponsored studies. Register for access to data.

I worked on Virginia Screening, Brief Intervention, and Referral to Treatment (SBIRT) project as a data scientist.

I enjoy teaching at Mason. Learning is stigmatized by the premise that learning is difficult, when in fact it is a very beautiful and vital process of life, full of excitement and pleasure. My approach is to give a problem and to encourage students to find the way to the solution. My goal is not just to explain how something works, but also why it is like that, what is behind it, and where the solution will lead them.

I serve as a research service without compensation (WOC) employee for the Department of Veterans Affairs.

In my free time, I enjoy making chocolates (not to eat them, just for the pleasure of baking) and ice skating with my family.

I am a 2023 university wide Teaching Excellence Award Winner.