Madhav serves as an instructor for Health Data Mining (BMI 312) and Biomedical Informatics Symposium (BMI 570), where he facilitates graduate and undergraduate learning by organizing seminars, leading lectures, and guiding interactive discussions on the intersection of data science, healthcare, and informatics. Through these teaching roles, he integrates academic instruction with real-world biomedical and psychometric research challenges, fostering interdisciplinary collaboration across research, clinical, and technological domains.
In addition to his instructional roles, Madhav works as a Psychometric Scientist with the John Ware Research Group, where he contributes to advancing health outcomes measurement, psychometric modeling, and the development of patient-reported outcome instruments. His work bridges data-driven methodologies and behavioral health assessment, reinforcing his commitment to improving precision medicine and digital health through evidence-based analytics and informatics innovation.