Institute for Human-Centered Artificial Intelligence (HAI)
Showing 1-20 of 225 Results
Clinical Assistant Professor, Psychiatry and Behavioral Sciences
Current Research and Scholarly InterestsMy research lies in the intersection of Machine Learning, Computer Vision, Healthcare, and Computational Neuroscience.
W. Stewart Agras
Professor of Psychiatry and Behavioral Sciences, Emeritus
Current Research and Scholarly InterestsMy research is focused on disorders of human feeding including the eating disorders: anorexia nervosa, bulimia nervosa, and binge eating disorder. Ongoing or recently completed studies include: A controlled trial of the implementation of interpersonal psychotherapy for eating disorders and depression on college campuses across the U.S. A multisite controlled study of two types of family therapy for the treatment of adolescent anorexia nervosa. Early prevemtion of overweight and obesity.
Forest Baskett Professor and Professor, by courtesy, of Electrical Engineering
Current Research and Scholarly InterestsComputer Graphics, Human Computer Interaction and Visualization.
Russ B. Altman
Kenneth Fong Professor and Professor of Bioengineering, of Genetics, of Medicine (General Medical Discipline), of Biomedical Data Science and, by courtesy, of Computer ScienceOn Partial Leave from 10/01/2021 To 12/31/2021
Current Research and Scholarly InterestsI refer you to my web page for detailed list of interests, projects and publications. In addition to pressing the link here, you can search "Russ Altman" on http://www.google.com/
Bruce Arnow, Ph.D.
Professor of Psychiatry and Behavioral Sciences (General Psychiatry and Psychology - Adult)
Current Research and Scholarly InterestsCurrent research interests include treatment outcome for major depression, particularly treatment refractory and chronic forms of major depression, as well as mediators and moderators of outcome; the epidemiology of chronic pain and depression; relationships between child maltreatment and adult sequelae, including psychiatric, medical and health care utilization.
Euan A. Ashley
Associate Dean, School of Medicine, Roger W. and Joelle G. Burnell Professor of Genomics and Precision Health, Professor of Medicine (Cardiovascular Medicine), of Genetics, of Biomedical Data Science and, by courtesy, of Pathology
Current Research and Scholarly InterestsThe Ashley lab is focused on precision medicine. We develop methods for the interpretation of whole genome sequencing data to improve the diagnosis of genetic disease and to personalize the practice of medicine. At the wet bench, we take advantage of cell systems, transgenic models and microsurgical models of disease to prove causality in biological pathways and find targets for therapeutic development.
Affiliate, Stanford Digital Economy Lab (S-DEL)
BioSagit Bar-Gill is an assistant professor of Technology Management and Information Systems at Tel Aviv University's Coller School of Management, and a Fellow at Stanford's Digital Economy Lab and MIT’s Initiative on the Digital Economy.
Sagit's research is centered around the economics of online markets, and the impacts of digitization on firms and consumers. Her work combines economic modeling, experiments and data analytics to understand the online economy.
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 EngineeringOn Leave from 03/15/2021 To 12/31/2021
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 and crowdsourcing systems. Michael has received eight best paper awards at premier computing venues, and he has been recognized with an NSF CAREER award and an Alfred P. Sloan Fellowship. His Ph.D. students have gone on both to industry (e.g., Adobe Research, Facebook Data Science, entrepreneurship) and faculty careers (e.g., Carnegie Mellon, UC Berkeley). Michael 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.