MIDAS Webinar: Dr. Anuj Mubayi

The MIDAS Webinar Series features research by MIDAS members, and is open to the public. 

Date: Friday, November 18th, 2022
Time: 12:00pm – 1:00pm Eastern Standard Time (USA)

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Topic: The Dynamics of Societal and Healthcare Value Creation: Insights from Mathematical Modeling of Diseases

Speaker: Dr. Anuj Mubayi, IQVIA

Abstract: The COVID-19 pandemic continues to have enormous impact on daily lives, health systems, and economies across the globe. The crisis has drastically shifted our focus and defined a new normal in terms of way of research thinking, pedagogical techniques, gathering evidence, and process of decision making. Across the landscape of health, the response is seeing a major transformation on data collection, modeling approaches, and policy implications that will be based on all stakeholders. In this talk, I will show examples from my research and educational programs and highlight how transformation are shaping the future of education and research by incorporating multiresolution modeling approaches, evidence-based research with the aim of enhancing personal health and needs in real time. Integrated modeling and evidence-generation process are being used to connect siloed functioning of departments, and disciplines. The paradigm shift involves organically building partnership model that will simultaneously enhance data engineering platforms, advanced analytics capabilities, modeling-based decision process, and cross-functional collaborations.

Bio: Dr. Mubayi is currently an associate principal at IQVIA and also a distinguished fellow at the Center for Collaborative Studies in Mathematical Biology, Illinois State University, USA. He is also senior fellow at the Kalam Institute of Health Technology, Visakhapatnam, Government of India. Earlier he held a faculty position at the School of Human Evolution and Social Change, and Simon A. Levin Mathematical Computational Modeling Science Center of the Arizona State University and codirected internationally recognized research program and NSF supported REU program, Mathematical Theoretical Biology Institute (MTBI). He has been a strong supporter of the underrepresented groups and has extensive experience in successful development of strong mathematical sciences training programs. He received master’s in mathematics from Indian Institute of Technology-Kanpur, and doctorate in applied mathematics from Arizona State University. His research interests are in the mathematical modeling of problems of interest to the healthcare or social sciences communities, where he develops and perform health decision analysis with applications in infectious diseases.

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