Data Science Meets Policy: Harvard's AI Health Revolution
Using advanced statistics and AI to improve health | Harvard T.H. Chan School of Public Health

Matlin Gilman, PhD ‘26, studies the real-world health effects of policy decisions and builds artificial intelligence tools to advance health care.
Matlin Gilman, a Harvard PhD candidate, combines advanced statistics and artificial intelligence to evaluate how policy decisions impact real-world health outcomes. Her work develops innovative AI tools designed to enhance healthcare delivery and inform better public health decisions. This research bridges the gap between epidemiology and practical policy implementation.
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