Dr. Mukhopadhyay conducts health outcomes research, performs statistical analyses, and provides support and biostatistical expertise to the Health Policy and Practice Program area. She applies her in-depth statistical knowledge to evidence-based medical research that informs policy and improves patient care. Her areas of expertise include statistical models (logistic regression, generalized linear models, Cox regression, mixed effects models, etc.), biostatistical study design, statistical computing, and data analysis. She has worked on several National Institutes of Health- and Centers for Medicare & Medicaid Services-funded projects. With over 8 years of experience in the management of healthcare research data and observational data analyses, Dr. Mukhopadhyay works with lead investigators to design analytical approaches for answering research questions. She manages and motivates teams of programmers and research analysts while also providing mentorship. Working with investigators, she identifies potential new projects and writes key sections of winning proposals. Dr. Mukhopadhyay has co-authored several peer-reviewed publications, abstracts, conference presentations, and reports for federal sponsors. She received her doctoral degree from the Missouri University of Science and Technology in 2008. Prior to joining Arbor Research, she worked as a Research Assistant professor at the University of Kansas Medical Center.