Institute for Human-Centered Artificial Intelligence (HAI)
Showing 1-10 of 21 Results
Haifa Badi Uz Zaman
Program Manager for Diversity, Equity, and Inclusion, Institute for Human-Centered Artificial Intelligence (HAI)
BioHaifa Badi Uz Zaman is the inaugural Program Manager for Diversity, Equity and Inclusion at the Stanford Institute for Human-Centered Artificial Intelligence (HAI). Prior to Stanford, Haifa was a Campus Director with Citizen Schools in San Jose, CA where she managed STEM education programs at low-income public schools. She holds an EdM in International Education Policy from Harvard University as the Aga Khan Foundation’s International Scholar at the Graduate School of Education. Haifa also holds a BA in Mass Communication with minors in International Studies and Governmental Studies from the American University of Sharjah. She has worked as a Communications Associate for the Aga Khan Academies in Kenya and written for news publications in Pakistan and the United Arab Emirates.
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 and Senior Fellow at the Woods Institute
Current Research and Scholarly InterestsAreas of research
Ethical Aspects of research conducted overseas
Clinical Tropical Diseases
Globalization's Impact upon Health Disparities
Associate Professor of Operations, Information and Technology at the Graduate School of Business and, by courtesy, of Electrical Engineering and of Radiation Oncology
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) and Senior Fellow at the Woods Institute for the Environment
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..
Associate Professor of Computer ScienceOn Partial Leave from 10/01/2021 To 06/30/2022
BioMichael Bernstein is an Associate Professor of Computer Science and STMicroelectronics Faculty Scholar at Stanford University, where he is a member of the Human-Computer Interaction Group. His research focuses on the design of social computing systems. This research has won best paper awards at top conferences in human-computer interaction, including CHI, CSCW, and UIST, and has been reported in venues such as The New York Times, New Scientist, Wired, and The Guardian. Michael has been recognized with an Alfred P. Sloan Fellowship, UIST Lasting Impact Award, and the Patrick J. McGovern Tech for Humanity Prize. He holds a bachelor's degree in Symbolic Systems from Stanford University, as well as a master's degree and a Ph.D. in Computer Science from MIT.