Open funding:
Open funding:

Mousumi Banerjee, PhD; MS

Primary Appointment

Research Professor

School of Public Health
Biostatistics
she/her/hers
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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

[email protected]

Country 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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