School of Medicine
Showing 1,701-1,800 of 4,395 Results
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Olena Janczewski
Associate Director of Education, Pathology Ops Business Office
Current Role at StanfordAssociate Director of Education, Pathology
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Mi Jiang
Executive Compensation Manager, SoM Finance - Faculty Compensation
BioSpecialized in physician compensation and executive compensation.
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David Jimenez-Morales
Sr Research Engineer, Medicine - Med/Cardiovascular Medicine
Current Role at StanfordBioinformatics Lead & Senior Research Scientist Department of Medicine, Division of Cardiovascular Medicine
At Stanford, Dr. Jimenez-Morales owns and leads organization-wide data initiatives, most notably for the Molecular Transducers of Physical Activity Consortium (MoTrPAC) and COVID-omics projects. He coordinates a multidisciplinary team of analysts and researchers, overseeing the data engineering and analysis for complex multi-omics, multi-tissue in-vivo, and clinical studies.
A key aspect of his role involves developing innovative, scalable computational infrastructure from the ground up. This includes engineering comprehensive data injection and quality control systems, and implementing FAIR data science principles. He also serves as a mentor to staff, postdocs, and graduate students, cultivating a collaborative and highly productive research environment. -
Cati G. Brown-Johnson
Sr Research Scholar, Medicine - Primary Care and Population Health
Current Role at StanfordSenior Research Scholar | Implementation and Social Science
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Kathy Johnson
Executive Administrator, SPARK at Stanford
Current Role at StanfordProgram Administrator, SPARK at Stanford
Executive Admin to:
Daria Mochly-Rosen, Professor
Kevin V. Grimes, Professor - Teaching
Department of Chemical & Systems Biology -
Susan Johnson
Academic Program Professional 2, Rad/Pediatric Radiology
Current Role at StanfordProgram Manager at the Stanford Center for Interventional Radiology Innovation (IRIS)
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Jamie S. Johnston
Research and Evaluation Director, Stanford Center for Health Education, Pediatrics - Infectious Diseases
BioJamie Johnston is the Research and Evaluation Director for the Stanford Center for Health Education. Her work focuses on the use of technology to improve educational access and health education in under-resourced areas. Jamie completed a PhD in Economics of Education at the Stanford Graduate School of Education in 2017, where she was an Institute of Education Sciences (IES) doctoral fellow. She also completed a postdoctoral fellowship with Stanford School of Medicine. Additionally, Jamie holds a BS in Social Policy from Northwestern University, an MPP from the University of Chicago, and an MA in Economics from Stanford University.
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Semay Johnston
Affiliate, Technology & Digital Solutions
BioSemay Johnston is a board certified medical illustrator specializing in the visual communication of scientific and medical information through a variety of media. She believes that creative visualization provides a rare power to engage learners, simplify complexity, and inspire research. Previously, Semay worked at Macmillan Learning developing HTML5 interactive science modules and created surgical and anatomical illustrations at Body Scientific International. She holds an M.S. in Biomedical Visualization from the University of Illinois at Chicago.
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Siddhartha Joshi, PhD
Senior Research Scientist, Neurosurgery
BioI am a neuroscientist with over 20 years of experience in empirical, hypothesis-driven research. My knowledge and expertise cover a wide range of topics and methods within systems neuroscience including sensory perception, neurophysiology and neuroanatomy, eye-movements and pupillometry. My research is focused on how the brain represents and uses sensory information to drive goal-directed behaviors and in exploring how intrinsic neuromodulatory systems influence the neural circuits that drive such behaviors. At Stanford, I am looking to channel my experience towards studying human neural signals that underlie computations governing pain and attention.
My work thus far [1-4] supports the idea that there is a need for simultaneous measurements of behavior, brain state and large-scale cortical activity to understand how the brain’s circuits: (i) are modulated by ascending sympathetic activation and (ii) provide top-down control of descending sympathetic control. These are technically challenging experiments [3,4] that have thus far largely been explored in animal models. My current goal is to leverage opportunities to directly measure human brain activity via electrodes implanted for monitoring epilepsy. Towards this end, I will use state-of-the-art neurophysiological, behavioral, pupillometric techniques combined with quantitative analyses.
Representative publications:
1. Joshi S, Gold JI (2020) Pupil Size as a Window on Neural Substrates of Cognition. Trends in Cognitive Sciences 24(6), 466-480. PMCID: PMC7271902.
2. Joshi S (2024). Control of Pupil Responses. Encyclopedia of the Human Brain (Elsevier), Second Edition, Vol.1, 374-387.
3. Joshi S, Li, Y, Kalwani R, Gold JI (2016). Relationships between pupil diameter and neuronal activity in the locus coeruleus, colliculi and cingulate cortex. Neuron 89:221-234. PMCID: PMC4707070.
4. Joshi S, Gold JI (2022) Context-Dependent Relationships between Locus Coeruleus Firing Patterns and Coordinated Neural Activity in the Anterior Cingulate Cortex. eLife 11:e63490. PMCID: PMC8765756. -
Neda Kaboodvand
Basic Life Research Scientist, Neurosurgery
Current Role at StanfordApplied Scientist (Human Behavior & ML)
Neda Kaboodvand, PhD, is an Applied Scientist at Stanford University School of Medicine whose work focuses on modeling human behavior and improving system performance using data. She designs and leads human-subject studies and develops machine learning and computational modelling approaches to understand decision-making, evaluate interventions, and enable adaptive, personalized systems. Her work integrates behavioral and multimodal physiological data to support data-driven solutions in complex, real-world settings. -
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 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 -
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. -
Jennifer Kang
Academic Prog Prof 2, Pediatrics - Infectious Diseases
Current Role at StanfordProgram Manager, Global Child Health Program
