Open funding:
Open funding:

Keshav Pokhrel, PhD

Primary Appointment

Associate Professor

UM Dearborn
College of Arts, Sciences, and Letters
Mathematics and Statistics
he/him/his
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Data science for health disparities, causal inference, longitudinal, and survival analysis

Keshav Pokhrel’s global health focus centers on understanding health disparities driven by government policy and socio-cultural contexts, with regional expertise in South Asia. His interests in global health equity align with the Center’s themes of empowering women, strengthening systems for health, addressing social and environmental determinants of health, and developing technical solutions. Pokhrel’s work leverages advanced data science approaches, with primary expertise in causal inference for time-to-event data and longitudinal analysis, to address health equity issues.

Contact Information

[email protected]

Country Focus

Bangladesh
India
Nepal
Pakistan

Thematic Priorities

Empowering women
Social and environmental determinants of health
Strengthening health systems
Technical solutions

Health Equity Focus

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Aging
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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
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Environmental health
Air pollution
Climate
Disaster and emergency preparedness
Energy
Infrastructure
Health policy
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Healthcare promotion and prevention
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Infant and child mortality
Neonatal
Infant
Under 5
Maternal morbidity and mortality
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Social justice and equity
Access to care
Activism and advocacy
Eliminating poverty
Economic development
Financing

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