Benjamin Huynh

Benjamin Huynh is an Assistant Professor at the Department of Environmental Health and Engineering, Johns Hopkins University. He leads the AI for Resilient Communities Lab, focusing on policy-relevant issues at the intersection of data science and planetary health.

• Education: PhD in Biomedical Data Science from Stanford University (2022); BS in Statistics from the University of Chicago.
• Key Collaborations: World Health Organization, Médecins Sans Frontières, UN agencies.

His research spans environmental justice, health equity, and algorithmic fairness, with applications to climate resilience, refugee health, and sustainable AI. Recent work includes small area estimation for lead exposure in Chicago and probabilistic modeling for allocative harm mitigation. He has contributed to high-impact publications in Nature Sustainability, Lancet journals, and JAMA Pediatrics.

The scientific awards include recognition by Grist 50 and Business Insider's AI Power List. He was also a Climate Security Fellow at the Center for Climate and Security.