Open funding:
Open funding:

Rahul Ladhania, PhD

Primary Appointment

Assistant Professor

School of Public Health
Health Management and Policy
he/him/his
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Machine learning and causal inference in public health and behavior science

Rahul Ladhania’s global health work focuses on the use of digital tools—mobile games, text-message nudges, and so on—for enabling behavior change in domains as diverse as vaccine uptake to healthy habit formation in school children. His interests in global health equity align with the Center themes of strengthening systems for health and providing technical solutions. His primary research interests are in adapting machine learning methods for estimating effects and learning personalized treatment rules for health policy and behavioral health interventions and the development and use of eHealth and telehealth systems in delivering care.

Contact Information

[email protected]

Country Focus

India
United States

Thematic Priorities

Strengthening health systems
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)
Food systems
Agricultural development
Food security
Nutrition
Healthcare communications
eHealth/telehealth
Healthcare delivery and utilization
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Health insurance and payment/financing
No items found.
Healthcare promotion and prevention
No items found.
Healthcare quality
Care coordination
Health outcomes
Patient safety
Quality improvement
Social justice and equity
Access to care
Activism and advocacy
Eliminating poverty
Economic development
Financing

Population Focus

Adolescents/teens
Children/infants

Publications

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