Stanford University
Showing 6,001-6,100 of 14,485 Results
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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/ -
Kirill Olegovich Kalinin
Staff, Finance
Casual - Non-Exempt, Hoover InstitutionBioI am a political methodologist and comparativist with expertise in statistical analysis, machine learning, artificial intelligence, election forensics, survey methodology, and statistical software development. Since 2017, I have worked at Stanford University's Hoover Institution in various positions, including National Fellow, Researcher, and Data Analyst. Prior to joining Stanford, I studied and worked at the University of Michigan, where I earned my PhD in political science in 2017. For more information, please visit my website at www.kirillkalinin.com.
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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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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
Adjunct Professor, Electrical Engineering
Researcher, Hansen Experimental Physics Laboratory (HEPL)BioTed 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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Jennifer Kang
Academic Prog Prof 2, Pediatrics - Infectious Diseases
Current Role at StanfordProgram Manager, Global Child Health Program
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Kshitij Kant
Undergraduate, Computer Science
Undergraduate, Economics
Student Employee, Hoover InstitutionBioHi! I'm Kshitij, and I am pursuing Economics and Computer Science at Stanford University. I'm interested in understanding the intersection of technology and economic systems, and how they shape our world. I am happy to collaborate on ideas or create something big! Feel free to reach out to me on kkant@stanford.edu.
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Barbara A. Karanian Ph.D. School of Engineering, previously Visiting Professor
Lecturer, Mechanical Engineering - Design
Lecturer, d.schoolCurrent Role at StanfordLecturer in Mechanical Engineering Design
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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.
