Institute for Human-Centered Artificial Intelligence (HAI)
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Haifa Badi Uz Zaman
Program Manager for Diversity, Equity, and Inclusion, Institute for Human-Centered Artificial Intelligence (HAI)
BioHaifa Badi-Uz-Zaman is Program Manager for Diversity, Equity and Inclusion at the Stanford Institute for Human-Centered Artificial Intelligence, where she leads the institute's education initiatives that include courses, fellowships, and convenings related to race and technology, arts and technology, AI education for K-12 audiences, and AI in global contexts.
Haifa is passionate about centering perspectives from minoritized communities in technology design and application, particularly voices from developing countries in Asia and Africa. As a first-generation college graduate from a Pashtun family, Haifa is a strong believer in the transformative power of higher education in empowering underrepresented minorities. At Stanford, Haifa has also managed research projects related to the impact of social media on democracy and elections at the Cyber Policy Center and the Center on Philanthropy and Civil Society. She has previously worked with Citizen Schools in California and the Aga Khan Development Network in Kenya. Haifa has a bachelor’s degree in journalism from the American University of Sharjah in the United Arab Emirates and a master’s degree in international education policy from Harvard University.
Michele Barry, MD, FACP
Drs. Ben & A. Jess Shenson Professor, Senior Associate Dean, Global Health, Director, Center for Innovation in Global Health, Professor of Medicine, Senior Fellow at Woods and Professor, by courtesy, of Psychiatry and Behavioral Science
Current Research and Scholarly InterestsAreas of research
Ethical Aspects of research conducted overseas
Clinical Tropical Diseases
Globalization's Impact upon Health Disparities
Professor of Operations, Information and Technology at the Graduate School of Business and, by courtesy, of Electrical Engineering
Current Research and Scholarly Interests1) Healthcare management: I am interested in improving healthcare delivery using data-driven modeling and decision-making.
2) Network models and message-passing algorithms: I work on graphical modeling ideas motivated from statistical physics and their applications in statistical inference.
3) Personalized decision-making: I work on machine learning and statistical challenges of personalized decision-making. The problems that I have worked on are primarily motivated by healthcare applications.
Professor of Developmental Biology, of Computer Science, of Pediatrics (Genetics) and of Biomedical Data Science
Current Research and Scholarly Interests1. Automating monogenic patient diagnosis.
2. The genomic signatures of independent divergent and convergent trait evolution in mammals.
3. The logic of human gene regulation.
4. The reasons for sequence ultraconservation.
5. Cryptogenomics to bridge medical silos.
6. Cryptogenetics to debate social injustice.
7. Managing patient risk using machine learning.
8. Understanding the flow of money in the US healthcare system.
Associate Professor of Medicine (Primary Care and Population Health), Senior Fellow at the Woods Institute for the Environment and, by courtesy, at the Freeman Spogli Institute for International Studies
Current Research and Scholarly InterestsEffect of global health policies on health of individuals in developing countries, global health, HIV and TB.
Professor of Pediatrics (Genetics) and, by courtesy, of Genetics
Current Research and Scholarly InterestsMy research is focused on the diagnosis, discovery and delineation of rare genetic conditions with a focus of neurodevelopmental disorders. This work includes the application of novel computational methods and multi-omics profiling (whole genome sequencing, RNA sequencing, metabolomics). I additionally participate in an interdisciplinary project to develop induced pluripotent stem cell (iPSC) models of genetic neurodevelopmental disorders..