Fan Bu, PhD
Primary Appointment
Assistant Professor
Public Policy and Health Management & Policy
Biostatistics
she/her/hers
Data science solutions, health inequities, privacy-preserving analytics
Fan Bu's global health work involves developing statistical and data science methods to analyze complex, multi-modality data, aiming to identify and address significant health inequities. Her interests in global health equity align with the Center's themes of strengthening systems for health and developing technical solutions. Bu's research focuses on privacy-preserving federated learning methods for data analytics, which uphold data security policies, particularly for data collected in low- and middle-income countries.
Contact Information
fbu@umich.eduCountry Focus
China
Uganda
United Kingdom
United States
Thematic Priorities
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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
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Environmental health
Air pollution
Climate
Disaster and emergency preparedness
Energy
Infrastructure
Social justice and equity
Access to care
Activism and advocacy
Eliminating poverty
Economic development
Financing
Publications
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