Mousumi Banerjee, PhD; MS
Primary Appointment
Research Professor
School of Public Health
Biostatistics
she/her/hers

Application of biostatistical methods to improve health services and outcomes
Mousumi Banerjee’s global work focuses on the utilization of machine learning and modeling approaches to optimize healthcare quality and ensure equitable delivery of care. Her interests in global health equity align with the Center themes of empowering women and communities and providing technical solutions. Banerjee’s research uses modeling approaches and statistics to decrease disparities in healthcare outcomes. She collaborates in the fields of cancer, pediatric heart disease, neurology, surgery, and social determinants of health.
Contact Information
mousumib@umich.eduCountry Focus
Bangladesh
Brazil
India
Thailand
Thematic Priorities
Empowering women
Technical solutions
Health Equity Focus
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Data science
Artificial intelligence, large language models, machine learning
Findable, accessible, interoperable, reuseable (FAIR) principles & ethical, legal, social implications (ELSI)
Education and training
No items found.
Healthcare delivery and utilization
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Healthcare quality
Care coordination
Health outcomes
Patient safety
Quality improvement
Infant and child mortality
Neonatal
Infant
Under 5
Social justice and equity
Access to care
Activism and advocacy
Eliminating poverty
Economic development
Financing
Health Condition Focus
Cancer
Cardiovascular disorders
Congenital diseases
Population Focus
Children/infants
Underserved/vulnerable
Publications
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