School of Medicine
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Assistant Professor of Anesthesiology, Perioperative and Pain Medicine (Adult Pain) at the Stanford University Medical Center
Current Research and Scholarly Interests Perioperative Recovery of Opioids Mood and Pain Trial
Jin S. Hahn, MD
Professor of Neurology, of Pediatrics and, by courtesy, of Neurosurgery at the Stanford University Medical Center
Current Research and Scholarly Interests 1. Clinical informatics and electronic health records
2. Neonatal and fetal neurology
3. Prenatal diagnosis neurodevelopmental anomalies
4. Personalized Health and Wellness Records
Instructor, Pediatrics - Critical Care
Current Research and Scholarly Interests Our current research is focused on evaluation of cardiac bioenergetics and cardiac mechanics in pediatric sepsis. In particular, we have focused our efforts on the identification of developmental variability in cardiac bioenergetic reserve and mitochondrial oxidative stress in the setting of sepsis. Additionally we explore the role of mitochondrial dynamics in critical illness.
Professor of Political Science and, by courtesy, of Political Economics at the Graduate School of Business
Bio Jens Hainmueller is a Professor in the Department of Political Science at Stanford University and holds a courtesy appointment in the Stanford Graduate School of Business. He is also the Faculty Co-Director of the Stanford Immigration Policy Lab that is focused on the design and evaluation of immigration and integration policies and programs.
His research interests include immigration, statistical methods, political economy, and political behavior. He has published over 40 articles, many of them in top general science journals and top field journals in political science, statistics, economics, and business. He has also published three open source software packages and his research has received awards and funding from the Carnegie Corporation, the Russell Sage Foundation, the Robin Hood Foundation, the National Science Foundation, the Swiss SNF, the American Political Science Association, Schmidt Futures, the Society of Political Methodology, the National Bureau of Economic Research, and the Midwest Political Science Association.
Hainmueller received his PhD from Harvard University and also studied at the London School of Economics, Brown University, and the University of Tübingen. Before joining Stanford, he served on the faculty of the Massachusetts Institute of Technology.
Clinical Associate Professor, Radiology - Pediatric Radiology
Bio Dr. Safwan Halabi is a Clinical Associate Professor of Radiology at the Stanford University School of Medicine and serves as the Medical Director for Radiology Informatics at Stanford Children's Health. He is board-certified in Radiology with Certificate of Added Qualification in Pediatric Radiology. He is also board-certified in Clinical Informatics. He clinically practices obstetric and pediatric imaging at Lucile Packard Children's Hospital. Dr. Halabi?s clinical and administrative leadership roles are directed at improving quality of care, efficiency, and patient safety. He has also lead strategic efforts to improve the enterprise imaging platforms at Stanford Children?s Health. He is a strong advocate of patient-centric care and has helped guide policies for radiology report and image release to patients. He has published in peer-reviewed journals on various clinical and informatics topics. His current academic and research interests include: imaging informatics, deep/machine learning in imaging, artificial intelligence in medicine, clinical decision support and patient-centric health care delivery. He is currently the Chair of the RSNA Informatics Data Science Committee and serves as a Board Member for the Society for Imaging Informatics in Medicine.
Professor of Pediatrics (Neonatology) at the Lucile Packard Children's Hospital and, by courtesy, of Obstetrics and Gynecology at the Stanford University Medical Center
Current Research and Scholarly Interests 1. development of hospital operations centers coupled with sophisticated simulation capabilities
2. re-creation of near misses and adverse events
3. optimizing human and system performance during resuscitation
4. optimizing pattern recognition and situational awareness at the bedside
5. evaluation and optimization of debriefing
6. patient simulator design