Stanford University
Showing 5,201-5,300 of 12,501 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. This approach explores alternatives to prevailing cohort-based statistical paradigms, particularly in complex clinical cases that have resisted standard methods.
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 inadequate for the level of biological and clinical complexity being attempted. Her conclusion echoes the perspective of the mathematician Mikhail Gromov: “This area does not yet exist. It will have to be invented.” Mathematical Medicine represents one possible construction of such an area. This approach is aligned in spirit with the philosophy of the late mathematician Jim Simons: "We don't start with models. We start with data. We don't have any preconceived notions." Mathematical Medicine lets the data speak for itself.
This field is focused on the development of an intermediate translation layer between cohort-based statistical models and individualized multi-omic diagnosis and clinical decision-making. Without this mathematical layer, the clinical adoption of multi-omic data- particularly for complex cases- has been limited. As a result, many complex, multi-system conditions remain undiagnosed or misdiagnosed for long periods, delaying effective treatment and, in some cases, allowing disease processes to worsen. Additionally, what is learned from rare and extreme cases proves highly informative for the rest of the population.
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 -
Arpita Kalra
Marketing and Engagement Director, Precourt Institute for Energy
BioArpita Kalra is the Director for Marketing and Engagement at Precourt Institute for Energy. In this role she oversees the engagement and outreach efforts for the Stanford Energy brand. Prior to Stanford, she worked in the advertising industry where she developed and executed marketing campaigns across print, electronic and social media. Arpita holds a masters in Marketing Communications from the Mudra Institute of Communications, Ahmedabad (MICA) in India and a bachelors in Statistics from Delhi University.
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Dhruv Kamath
Intramural Official, Recreation Competitive Sports
BioI’m a high school junior at Palo Alto High School (Class of 2027) and currently work as a referee for Stanford Intramural Sports. I’m interested in economics, financial markets, and computational problem-solving, and enjoy applying quantitative thinking both in and out of the classroom.
https://www.dhruvkamath.com/ -
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. -
Theodore Kamins
Researcher, Contingent
Adjunct Professor, Electrical EngineeringBioTed received his degrees from the University of California, Berkeley. He then joined the Research and Development Laboratory of Fairchild Semiconductor, where he worked with epitaxial and polycrystalline silicon before moving to Hewlett-Packard Laboratories, where he worked on numerous semiconductor material and device topics. Before moving to Stanford, he was a Principal Scientist at Hewlett-Packard in the Information and Quantum Systems Laboratory, where he conducted research on advanced nanostructured electronic and sensing materials and devices.
Ted is co-author with R. S. Muller of the textbook "Device Electronics for Integrated Circuits" and is author of the book "Polycrystalline Silicon for Integrated Circuits and Displays." He is a Fellow of the IEEE and a Fellow of the Electrochemical Society. He has taught at the University of California, Berkeley, and at Stanford University and has been an Associate Editor of the IEEE Transactions on Electron Devices. -
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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Blair Bohannan Kaneshiro
Director of Research & Development, Research Staff - Other
BioBlair Kaneshiro is Director of Research & Development (Academic Staff - Research) in the Graduate School of Education and Adjunct Professor of Music. She completed the BA in Music; MA in Music, Science, and Technology; MS in Electrical Engineering; and PhD in Computer-Based Music Theory and Acoustics, all from Stanford. She has worked as a Postdoctoral Scholar at Stanford (Music), Research Scientist at Stanford School of Medicine (Otolaryngology/Head & Neck Surgery), and has held industry roles at Shazam and Smule. Research interests: Multivariate EEG decoding, ecologically valid stimuli, musical engagement, user studies, music information retrieval.
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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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Barbara A. Karanian Ph.D. School of Engineering, previously Visiting Professor
Adjunct Lecturer, Design Courses
BioBarbara A. Karanian, Ph.D. Lecturer and previously Visiting Professor in Mechanical Engineering Design. Barbara's research focuses on four areas within the psychology of work: 1) grounding a blend of theories from social-cognitive psychology, engineering design, and art to show how cognition affects workplace decisions; 2) changing the way people understand how emotions and motivation influence their work; 3) shifting norms of leaders involved in entrepreneurial minded action; 4) developing teaching methods with a storytelling focus in engineering education.
Barbara teaches and studies how a person’s behavior at work is framed around a blend of applied theoretical perspectives from cognitive and social psychology; engineering design thinking and art. Her storytelling methods provides a form to explore and discover the practices of inquiry and apply them to how individuals behave within organizations, and the ways organizations face challenges. Active storytelling and self-reflective observation helps student and industry leaders to iterate and progress from the early, inspirational phases of projects to reality. Founder of the Design Entrepreneuring Studio (http://web.stanford.edu/~karanian/ ), Barbara shows how storytelling fuels design and innovation.
With her students, she co-authored, "The Power of First Moments in Entrepreneurial Storytelling." Findings show that vulnerability amplifies engagement. For ME 236- Tales to Design Cars By- the opportunity to investigate a person’s relationship with cars through the application of research and a generative storytelling focus-students find the inspiration for designing a new automotive experience. For ME 243 Designing Emotion (for Reactive Car Interfaces) students learn to "know" emotion by operationally defining emotions in self and other: to decipher the impact of emotion in the future of driving or mobility experience.
Barbara received her B.A. in the double major of Experimental Psychology and Fine Arts from the College of the Holy Cross, her M.A. in Art Therapy from Lesley University, and her Ph.D. in Educational Studies in Organizational Behavior from Lesley University. She was a Teaching Fellow in Power and Leadership at Harvard University's GSE.
Awards:
2019 "Provoked Emotion in Student Stories Reveal Gendered Perceptions of What it Means to Be Innovative in Engineering," Karanian, B., Parlier, A., Taajamaa, V., Eskandari, M. 1st Place Research Paper - distinction, ASEE Entrepreneurship and Innovation Division
2013 Best Teaching Strategies Paper award, ASEE Entrepreneurship and Innovation Division -
Amin Karbasi
Adjunct Professor, Management Science and Engineering
BioAn academic entrepreneur, Amin Karbasi is a Senior Director at Cisco Foundation AI, an adjunct professor at Stanford, and serves on the scientific board of the Simons Institute for the Theory of Computing. Previously, he served as Chief Scientist at Robust Intelligence (acquired by Cisco in 2024). Before that, he was a professor at Yale University and a research staff scientist at Google. He has received the National Science Foundation (NSF) CAREER Award, Office of Naval Research (ONR) Young Investigator Award, Air Force Office of Scientific Research (AFOSR) Young Investigator Award, DARPA Young Faculty Award, National Academy of Engineering Grainger Award, Amazon Research Award, Nokia Bell-Labs Award, Google Faculty Research Award, Microsoft Azure Research Award, Yale innovation award, Simons Research Fellowship, and ETH Research Fellowship. His work has also been recognized with paper awards from Graphs in Biomedical Image Analysis (GRAIL), Medical Image Computing and Computer Assisted Interventions Conference (MICCAI), International Conference on Artificial Intelligence and Statistics (AISTATS), IEEE ComSoc Data Storage, International Conference on Acoustics, Speech, and Signal Processing (ICASSP), ACM SIGMETRICS, and IEEE International Symposium on Information Theory (ISIT). His Ph.D. thesis received the Patrick Denantes Memorial Prize from the School of Computer and Communication Sciences at EPFL, Switzerland.
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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.
