Upanzi Seminar: Mary-Anne Hartley, Yale University
February 28, 2024
5:00 p.m. CAT
Virtual
February 28, 2024
5:00 p.m. CAT
Virtual
Prof Mary-Anne Hartley, MD, PhD, MPH
Large language models (LLMs) have the potential to democratize access to medical knowledge. Unfortunately, the enormous potential of these models is either locked behind commercial/research licenses, in violation of privacy regulations, limited in scale, or not generalizable to underserved populations and resource-limited settings. To address this issue, we developed Meditron-70B, currently the world’s best-performing fully open-source chatbot for medicine, trained on carefully curated clinical practice guidelines from diverse settings. However, the performance of these chatbots is commonly measured on medical exam questions, which does not adequately evaluate real-world clinical utility and safety. In this talk, I will introduce Meditron and show how we are crowdsourcing incentivized expert evaluations that is putting Meditron to the test. I introduce the MOOVE (Massive Online Open Validation and Evaluation) platform that allows doctors to validate the real-world performance of Meditron in terms of helpfulness, harmlessness, bias, trust, and safety. In return for this rigorous validation, participants can get their own chatbot, adapted to their preferences and specialty.
Mary-Anne "Annie" Hartley is an Assistant Professor in Biomedical Informatics and Data Science at Yale University. Her research is focused on developing and validating novel data-driven tools designed to improve healthcare in low-resource settings, with a special interest in Africa.
She completed her undergraduate degrees at the Universities of Pretoria and Cape Town before moving to Switzerland, where she completed a MD at the University of Lausanne, with an MPH at the London School of Hygiene and Tropical Medicine. In 2019, she started the research group, "Intelligent Global Health" in the School of Computer Science at the Swiss Institute of Technology (EPFL) and continues this work in LiGHT (Laboratories for intelligent Global Health Technologies). Through these groups, she maintains a strong presence and partnership between EPFL and Yale through student exchange, research collaboration, and a visiting professorship. The groups collaborate with international NGOs and clinical partners to create and validate needs-based digital global health technology using novel approaches in data science and. informatics.
April 25 2025
9:00 AM CAT
Carnegie Mellon University Africa
Visit to the Campaign Against Genocide Museum
Open to the community, join this visit to learn about Rwanda’s Liberation War and the efforts that led to the end of the genocide.
departure by bus from campus at 8:30 am
April 26 2025
7:00 AM CAT
Carnegie Mellon University Africa
Kwibuka 31: Student-led Community Give Back Project
Student-led community outreach to raise funds for renovating a genocide survivor’s home, organized by the Social Affairs Ministry.
May 6 2025
2:00 PM - 4:00 PM CAT
Carnegie Mellon University Africa
This event will highlight the incredible work being done by our students enrolled in individual research/project courses this semester.
CMU-Africa
May 10 2025
9:00 AM - 4:00 PM CAT
Carnegie Mellon University Africa
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Digital Experience Center (Resource center)
May 14 2025
2:00 PM - 3:00 PM CAT
Carnegie Mellon University Africa