Scholar
Mary-Anne Hartley
Google Scholar ID: P2CPNr8AAAAJ
EPFL, Harvard-Chan (Ariadne labs), CMU-Africa
Citations & Impact
Citations
1,804
H-index
24
i10-index
41
Publications
20
Co-authors
22
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Developed a suite of medical LLMs adapted for low-resource and humanitarian contexts.
- Created DISCO, a code-free, web-based platform for collaborative AI training without sharing any data.
- Established MOORE, a massive multimodal open RAG & extraction pipeline to personalize LLMs with a diverse corpus of multimodal inputs.
- Over 100,000 downloads of MEDITRON.
- More than 20 organizations are on the MOOVE platform.
- Over 18,000 expert evaluations.
Research Experience
- Involved in multiple large-scale international clinical trials evaluating the real-world implementability of AI tools in complex environments.
- Led several projects using artificial intelligence technologies to improve healthcare, including but not limited to lung ultrasound-assisted diagnosis.
Education
- Harvard T.H. Chan School of Public Health & Brigham and Women's Hospital
- Field of Computer Science
- EPFL, Lausanne, Switzerland
- Harvard, Ariadne Labs, Boston, USA
Background
- Focused on global health, data science, clinical medicine, humanitarian response, refugee wellness, implementation research, and user-centered design to solve simple problems in complex environments.
Miscellany
- Student-led research team, comprising students from over 20 nationalities, including 6 MDs.
- Committed to open-source, ensuring AI is scrutable, accessible, and representative.
- Training and capacity building are integral parts of projects, allowing for direct and provable impact on patient outcomes.
