Stanford University
Showing 5,301-5,350 of 12,517 Results
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Max Kasun
Research Professional, Psychiatry and Behavioral Sciences
BioMax Kasun works in the Roberts Ethics Lab and Kim Ethics Lab at Stanford, which use empirical methods to help anticipate, clarify and resolve ethical issues in modern biomedical research. He has interests in empirical and normative thought dedicated to increasing scientific understanding and societal appreciation of the nature, internal experience, and prevalence of mental illness and well-being, as well as in moral philosophy (e.g. justice, action, capability, neo-Aristotelianism, and pragmatism), cognitive and affective sciences, and philosophy of mind (e.g. embodiment and personhood). He has co-authored scientific, peer-reviewed articles and other scholarly work investigating ethical issues in research (e.g. authentic voluntarism in informed consent), medical education, public health, and neuroscience. His most recent contributions to NIH-funded scientific work (National Center for Advancing Translational Sciences; PI: Dr. Jane Kim) have focused on investigating ethical issues encountered in the design, development, and clinical integration of artificial intelligence, e.g., how environmental and cognitive factors shape appraisals of AI tools, clinical judgments, trust, and health decision-making.
Max is a co-author of several chapters in APA's Study Guide to DSM-5-TR (2024) including the chapters on bipolar and related disorders and personality disorders (American Psychiatric Association). He has published work in and provided editorial support for the peer-reviewed journal Academic Medicine (Oxford University Press) and for two works on the subject of trauma and crisis and related interventions, including a reference guide for providing mental health care to victims of state atrocity (United Nations, Springer). Previously, he served on leadership teams for the Stanford Mental Health Technology and Innovation Hub and Neurodiversity Project.
Max is currently working to develop a new Special Initiative of the Chair on Mental Health Care for Unhoused and Justice-Involved Persons (see https://med.stanford.edu/psychiatry/special-initiatives/mhuj.html). The initiative aims to bring together a community of scholars, public stakeholders, and health care professionals to help advance more humane and participatory inquiry and health policy in service of a population that faces profound controversy, health stigma, and scientific neglect. The initiative aims to improve how science is communicated to the public and policy decision-makers and to develop more evidence-based, pragmatic, strengths-based, and trauma-informed approaches to mental health care for unhoused persons, including those who have experienced episodic or cyclical involvement in the criminal and civil justice systems. -
Noa Katz
Research Professional, Chemical Engineering
BioNoa Katz is a Stanford Science Fellow and an EMBO and Fulbright postdoctoral scholar at Stanford University. She implements biomolecular gene circuits to study and manipulate the central nervous system to promote therapeutic applications for neural repair and autism.
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Ankita Kaulberg
Director of Innovation & Technology, Epidemiology and Population Health
Current Role at StanfordDirector of Innovation & Technology, HEARTS Lab
Stanford School of Medicine -
Amit Kaushal
Adjunct Professor, Bioengineering
BioDr. Kaushal is Clinical Associate Professor of Medicine and Adjunct Professor of Bioengineering at Stanford University. He is a respected internal medicine physician with expertise in applications of computer science, artificial intelligence (AI), and machine learning (ML) to medicine and public health. He has worked in roles ranging from deeply technical to deeply clinical, in both academia and industry.
Dr. Kaushal brings over 20 years of research experience at the intersection of computer science and biomedicine. His work focuses on taking AI/ML applications from concept all the way through live clinical deployment, with attention to fair and ethical use of AI. His work has been featured in JAMA, Nature, Lancet Digital Health, NEJM AI, NEJM Catalyst Innovations in Care Delivery, Nature npj Digital Medicine, JAMA Network Open, Health Affairs Blog, and others; and he has been covered in popular media outlets such as Scientific American, Wired, STAT News, The Verge, LA Times, and more.
Dr. Kaushal launched Stanford University School of Engineering's undergraduate degree program in Biomedical Computation over 20 years ago; he serves as co-director of the major, which has graduated over 150 students since its founding. He is a faculty in the Stanford Center for Artificial Intelligence in Medicine and Imaging, Stanford Institute for Human-Centered Artificial Intelligence, Stanford Clinical Excellence Research Center, and Stanford Partnership for AI-Assisted Care.
Dr. Kaushal practices hospital medicine at VA Palo Alto, where he also serves as inaugural Director of the Amplified Reach Catalyst (ARC) Program, an embedded research-support infrastructure for VA hospitalist clinicians.
Dr. Kaushal has served in executive, operating, and advisory roles in industry.
Dr. Kaushal is board certified in both internal medicine and clinical informatics. He completed his BS (Biomedical Computation), MD, PhD (Biomedical Informatics) and Internal Medicine residency training all at Stanford University. -
Dr Mohit Kaushal MD
Adjunct Professor, Biomedical Data Science
BioDr. Mohit Kaushal is an accomplished entrepreneur, investor, and physician with a distinguished career spanning clinical medicine, academia, public policy and industry. He has served as an investor and board member for numerous public and private transformative companies, including Oak Street Health (NYSE: OSH, acquired by CVS Health, NYSE: CVS), Humedica (acquired by Optum, NYSE: UNH), RxAnte (acquired by Millennium), Change Healthcare (acquired by Emdeon), Universal American (NYSE: UAM, acquired by WellCare, NYSE: WCG), goBalto (acquired by Oracle, NYSE: ORCL), CitiusTech (acquired by Baring), Wellframe (acquired by HealthEdge), and George Clinical (acquired by Hillhouse).
During the Obama administration, Dr. Kaushal served on the White House Health IT Task Force, contributing to the implementation of the Affordable Care Act’s technology initiatives and testifying before Congress on the role of technology and payment reform in Medicare. He also established and led the first dedicated healthcare team at the Federal Communications Commission, where his work included partnering with the FDA to streamline regulation of converged telecommunications, analytics, and medical devices, ultimately resulting in the FDA’s mobile medical applications guidance. His team also restructured the Rural Healthcare Fund into the Healthcare Connect Fund, aligning its resources with broader healthcare technology and payment reforms.
In academia, Dr. Kaushal is an Adjunct Professor in the Department of Biomedical Data Science at Stanford University, which integrates AI, biomedical informatics, biostatistics and computer science to advance precision health. His teaching emphasizes the application of data—ranging from molecular and tissue-level information to imaging, EHR, biosensors, and population health—to improve medical outcomes.
He remains active in public policy as a Scholar in Residence at the Duke-Margolis Center for Health Policy and was previously a Visiting Scholar at the Brookings Institution. His policy work includes previous appointments to the FDASIA Workgroup of the Health IT Policy Committee and the National Committee on Vital and Health Statistics, advising HHS on data access and use.
Dr. Kaushal is an emergency physician by training, holds an MBA from Stanford University, and earned his MD with distinction from Imperial College London. -
Nita Singh Kaushal
Business and Technology Curriculum Director, Continuing Studies
Current Role at StanfordBusiness Curriculum Lead and Instructor at Stanford Continuing Studies
Adjunct Lecturer at Stanford School of Engineering -
Karen Kearney
Treasurer, Treasurer's Office
Current Role at StanfordUniversity Treasurer
