Stanford University
Showing 1-50 of 220 Results
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Neda Kaboodvand
Basic Life Res Scientist, Neurosurgery
Current Role at StanfordNeda Kaboodvand, PhD, is an Applied Research Scientist at Stanford University School of Medicine. Her research lies at the intersection of artificial intelligence, behavioral science, and clinical research, with a focus on using multimodal data to understand human behavior and improve clinical decision-making. She designs and leads experimental and observational studies and develops machine learning, statistical, and computational models to evaluate interventions, predict outcomes, and support personalized, adaptive approaches to care. A central part of her work involves modeling complex longitudinal and time-series data, including neural, electrophysiological, physiological, behavioral, imaging, and device-generated signals. By integrating these high-dimensional data sources, she develops models of patient and user state, identifies temporal patterns associated with outcomes and intervention response, and translates complex data into actionable insights for clinical and digital health systems.
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Alexander D. Kaiser
Instructor, Cardiothoracic Surgery
BioAlexander Kaiser, PhD, is an applied mathematician and computational scientist who researches modeling and simulation of heart valves, focused on congenital heart valve disease and its surgical treatment. His recent research explores simulation-guided design of aortic valve repair of complex congenital heart defects. He has developed novel, nearly first-principles modeling methods for heart valves called elasticity-based design. These methods produce robust and realistic flows in fluid-structure interaction simulations. Dr. Kaiser is an Instructor in Cardiothoracic Surgery at Stanford University working with Michael Ma and Alison Marsden. He completed his PhD in Mathematics with Charles Peskin at the Courant Institute of Mathematical Sciences at New York University, where he was awarded the Kurt O. Friedrichs Prize for Outstanding Dissertation in Mathematics.
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Sharada Kalanidhi
Director of Data Science, Biochemistry - Genome Center
Current Role at StanfordParaphrasing the mathematician Alexander Grothendieck: the essential thing is to pose problems in the right framework.
Sharada is developing a new field, Mathematical Medicine, which applies pure mathematical frameworks to genomic and multi-omic data for quantitative, personalized diagnosis. Her work addresses a fundamental challenge in contemporary medicine: prevailing cohort-based diagnostic approaches are not always equipped to capture the biological mechanisms relevant to individual patients, particularly in long-pending, complex “outlier” cases.
After more than a decade of research and close collaboration with biochemists at the Stanford Genome Technology Center (Dept. of Biochemistry), Sharada concluded that the mathematics currently used for multi-omic diagnosis is not sufficient for the level of biological and clinical complexity being attempted, particularly for individual patients who lack relevant statistical cohorts. Her conclusion echoes the perspective of the mathematician Mikhail Gromov: “This area does not yet exist. It will have to be invented.” This gap has important clinical consequences: individual biological differences may be treated as “noise” or as "outliers" rather than as clinically meaningful information. As a result, many patients with complex or multi-system conditions remain undiagnosed or incorrectly diagnosed, sometimes for decades, delaying effective treatment and, in some cases, allowing disease processes to worsen.
Mathematical Medicine addresses these limitations by developing an intermediate translational layer between cohort-based statistical models and individualized multi-omic diagnosis and clinical decision-making. The approach reflects the data-first philosophy articulated by the late mathematician Jim Simons: “We don’t start with models. We start with data. We don’t have any preconceived notions.” By developing new mathematical frameworks for interpreting an individual’s genomic and multi-omic data, Mathematical Medicine seeks to seeks to let the data speak for itself while enabling quantitative, individualized diagnosis and clinical decision-making.
Sharada’s research has led to the diagnosis and identification of appropriate treatment pathways for patients with previously undiagnosed, complex conditions. These rare and atypical cases also reveal biological relationships not apparent in population-level analyses, leading to insights that can inform broader research, clinical applications, and drug development.
Further information on this field, including opportunities for early philanthropic partnerships, is available at: https://mathmed-2026.web.app -
Mausam Kalita
Physical Science Research Professional 2, Rad/Molecular Imaging Program at Stanford
Current Role at StanfordSenior Research Scientist: a) cold chemical synthesis— Synthesis of the 12C and 19F- HPLC standards and precursors for 11C- and 18F- labeling
b) Radiosynthesis— Introduction of 11C or 18F radioisotopes into small molecules to develop novel PET tracers, that can track activated myeloid cells in neurodegenerative disease, c) radiometal labeling— 64Cu and 89Zr labeling of monoclonal antibodies that target immune receptors, d) clinical translation— To follow FDA guidelines for translating preclinically validated tracers into humans in the cyclotron and radiochemistry facility (CRF) of the Stanford University -
Neil Kamdar
Assistant Director of Analytics, Center for Population Health Sciences
Biostatistician 3, Center for Population Health SciencesBioI am a health services researcher and applied methodologist focused on clinical and policy applications in disabilities research, women's health, general surgery, and mental health analyses. My focus has been on leveraging Medicare, private payer claims (Health Care Cost Institute (HCCI), MarketScan, OptumInsight, etc.) and Medicaid to understand cost, utilization, and outcomes. This work has been foundational in the development of large-scale studies on vulnerable populations that have typically been under-served or insufficiently studies in the health services research domain.
I serve as the Assistant Director of Analytics at the Center for Population Health Sciences at Stanford, focused on the development of the American Family Cohort (AFC) data, a primary care registry that provides substantial insights into clinical outcomes, utilization, and a particular focus on COVID-19 and Long COVID outcome analyses. Ancillary work would involve the development of research collaborations throughout Stanford Medicine with the interest in creating scholarship across the many domains of the Center for Population Health Sciences.
In addition to this role at Stanford, I also maintain an appointment at the University of Michigan, Institute for Healthcare Policy and Innovation, where I serve as an analytic lead in the development of administrative claims and electronic medical records analyses leading to publications in general and subject-specific journals.
I have been successful in being funded as a co-investigator with several federal and foundation agencies, including the National Institutes of Health (NIH), Department of Defense (DOD), Agency for Healthcare Research and Quality (AHRQ), Neilsen Foundation focused on traumatic spinal cord injury, among many others. I have also provided foundational analyses in the development of Clinical Quality Initiatives (CQIs), which are state-wide initiatives aimed at improving the health and efficiency of hospitals and institutions, with a focus on maternal and fetal medicine in the State of Michigan. -
Devanish Narasimhasanth Kamtam
Visiting Instructor, Cardiothoracic Surgery - Thoracic Surgery
BioDr. Devanish Kamtam is a Visiting Instructor in the Division of Thoracic Surgery at Stanford University, working in Dr. Joseph Shrager's lab. His research focuses on surgical AI, AI in medical imaging, and clinical outcomes in Thoracic Surgery. He completed his MBBS at Gandhi Medical College, Hyderabad and MS in General Surgery at AIIMS New Delhi.
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Jennifer Kang
Academic Prog Prof 2, Pediatrics - Infectious Diseases
Current Role at StanfordProgram Manager, Global Child Health Program
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Merve Kaptan. PhD
Basic Life Research Scientist, Anesthesia - Adult Pain Medicine
BioDr. Kaptan is a researcher with a background in psychology and neuroscience whose work focuses on methodological innovation in quantitative MRI to characterize the structure and function of the brain, spinal cord, and musculoskeletal system. Her research aims to develop imaging markers for neurological, musculoskeletal, and chronic pain disorders.
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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. -
Ankita Kaulberg
Director of Innovation & Technology, Epidemiology and Population Health
Current Role at StanfordDirector of Innovation & Technology, HEARTS Lab
Stanford School of Medicine -
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.
