UMass Disease Modeling Lab

DISEASE MODELING LAB

PI: Chaitra Gopalappa, Mechanical and Industrial Engineering, UMass Amherst GoogleScholar | LinkedIn

PEOPLE | RESEARCH PROJECTS | PUBLICATIONS | AWARDS/FUNDING

We develop mathematical and computational models for socio-technical systems, with emphasis on a systems thinking approach to address societal issues. Our fundamental research is in areas of systems simulation and network modeling, machine learning and artificial intelligence, simulation-based parametric and control optimization, and stochastic processes. Our work focusses on issues of equity, access, and justice, taking public health as a metric. Our recent work includes:

• machine learning and data anlytics to understand the interdependencies between diseases and social determinants of health (SDoH) (e.g., poverty, food and housing insecurity, health access, etc.),
• integrated simulation and deep learning for joint modeling relalted diseases and SDoH,
• deep reinforcement learning for identifying optimal resource allocation strategies in dynamic systems including population-level epidemics and individual-level health progression,
• multi-agent reinforcement learning for cross-jurisidictional intervention analyses, and
• network modeling and machine learning for early detection of disease outbreaks and rapid response.

Translation work include the development of decision analytic tools for evaluation of national and global public health strategies for cancers, HIV, and STIs, in collaboration with the U.S. Centers for Disease Control and Prevention, the World Health Organization, the International Agency for Research on Cancer, and academic institutes.

Our work is funded by the National Institutes of Health, the National Science Foundation, Centers for Disease control and Prevention, and the World Health Organization.

RESEARCH AREA: Simulation, networks, machine learning, reinforcement learning, simulation-based optimization, dynamic programming, stochastic processes