Stanford University
Showing 1-20 of 49 Results
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Alyce Sophia Adams
Stanford Medicine Innovation Professor and Professor of Epidemiology and Population Health, of Health Policy and, by courtesy, of Pediatrics (Endocrinology)
BioDr. Adams is the inaugural Stanford Medicine Innovation Professor and Professor of Health Policy, Epidemiology and Population Health and of Pediatrics (by Courtesy). She also serves as Associate Chair for Community Outreach and Engagement for Stanford Health Policy, and as Associate Director for Partnership and Community Engagement in the Stanford Cancer Institute. Focusing on pharmaceutical treatments for cancer and diabetes, Dr. Adams' research evaluates health system and policy level interventions to improve access, balance the benefits and harms of treatment, improve patient-valued outcomes, and reduce disparities. Prior to joining Stanford School of Medicine, Dr. Adams was Associate Director for Health Care Delivery and Policy and a Research Scientist at the Kaiser Permanente Division of Research, as well as a Professor at the Bernard J. Tyson Kaiser Permanente School of Medicine. From 2000 to 2008, she was an Assistant Professor in the Department of Population Medicine (formerly Ambulatory Care and Prevention) at Harvard Medical School and Harvard Pilgrim Health Care. She received her PhD in Health Policy and an MPP in Social Policy from Harvard University. She is a member of the Stanford University Faculty Senate and a former recipient of the John M. Eisenberg Excellence in Mentoring Award from Agency for Healthcare Research and Quality.
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Fernando Alarid-Escudero
Assistant Professor of Health Policy
BioFernando Alarid-Escudero, Ph.D., is an Assistant Professor of Health Policy at Stanford University School of Medicine. He is a decision scientist specializing in disease simulation, decision-analytic modeling, and cost-effectiveness analysis to inform health policy questions that cannot be readily answered through clinical studies alone. He has also developed novel methods to quantify the value of future research and calibrate simulation models using emulator-based Bayesian methods. Dr. Alarid-Escudero is a member of three cancers (colorectal [CRC], bladder, and gastric) of the Cancer Intervention and Surveillance Modeling Network (CISNET) consortium, a group of investigators sponsored by the National Cancer Institute in the U.S. that uses simulation modeling to evaluate the impact of cancer control interventions (e.g., prevention, screening, and treatment) on population trends in incidence and mortality. Dr. Alarid-Escudero co-founded the Decision Analysis in R for Technologies in Health (DARTH) workgroup (http://darthworkgroup.com) and the Collaborative Network on Value of Information (ConVOI; https://www.convoi-group.org), international and multi-institutional collaborative efforts that develop transparent and open-source solutions to implement decision analysis and quantify the value of potential future investigation for health policy analysis.
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Russ B. Altman
Kenneth Fong Professor and Professor of Bioengineering, of Genetics, of Medicine, of Biomedical Data Science, Senior Fellow at the Stanford Institute for Human-Centered AI and Professor, by courtesy, of Computer Science
Current Research and Scholarly InterestsI refer you to my web page for detailed list of interests, projects and publications. In addition to pressing the link here, you can search "Russ Altman" on http://www.google.com/
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Amir Bahmani
Instructor, Genetics
BioAmir Bahmani is a Genetics Instructor and Director of Stanford's Deep Data Research Center (https://deepdata.stanford.edu ) at the Stanford School of Medicine. He has worked on distributed and parallel computing applications since 2008. Amir is currently an active researcher in the VA Million Veteran Program (MVP), Human Tumor Atlas Network (HTAN), Human BioMolecular Atlas Program (HuBMAP), Stanford Metabolic Health Center (MHC), Integrated Personal Omics Profiling (iPOP), and Bridge to Artificial Intelligence (Bridge2AI).
His team has designed and developed several notable cloud-scale frameworks, including the Personal Health Dashboard (PHD), cloud-based cost-saving platforms such as Hummingbird and Swarm, and the MyPHD platform, which now has over 12,000 participants and hosts more than 37 studies. His team also created Stanford Data Ocean (SDO), an innovative platform for educating engineers and biologists. SDO is the first serverless multi-omics and wearables data platform used for education and training.
Since 2017, he has trained more than 30 graduate interns (engineers and designers) from outside the School of Medicine, engaging them in the field of medicine. His course has been offered to physicians, biologists, engineers, and designers, earning him recognition as the recipient of Stanford’s 2024 Walter J. Gores Award for Excellence in Teaching. In 2023, he received the Terman Mentorship Award for mentoring Terman Fellow Ryan Park (top 1%), who transitioned to a Genetics PhD program inspired by Amir’s course. Committed to accessibility in education, Amir created a first-of-its-kind scholarship for under-resourced communities at Stanford, providing his course free of charge—along with Genetics certificates—to over 4,500 students from under-resourced backgrounds across 104 countries and all 50 U.S. states. -
Catherine Benedict, PhD
Clinical Associate Professor, Psychiatry and Behavioral Sciences - Medical Psychiatry
Current Research and Scholarly InterestsMy research focuses on improving cancer survivorship through better understanding of long-term health outcomes and through the development of theoretically driven, evidence-based behavioral interventions to improve adjustment, risk management, and quality of life. To this end, I lead studies aimed to guide and support patient decision-making and self-management after cancer. Much of my work focuses on the experiences of young adults affected by cancer.
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Melissa L Bondy
Stanford Medicine Discovery Professor, Professor of Epidemiology and Population Health and, by courtesy, of Pediatrics
Current Research and Scholarly InterestsPrincipal Investigator, Discovery, Biology and Risk of Inherited Variants in Glioma, 1R01CA217105-01A1, NIH/NCI, 05/01/2018-06/30/2022, MPI (Contact PI)
Principal Investigator, Characterizing Germline and Somatic Alterations by Glioma Subtypes and Clinical Outcome, 1R01CA232754-01, 07/01/2019-06/30/2023, MPI (Contact PI)
Co-Leader (Project), SPORE in Brain Cancer, PI – Fred Lang (Sub with MD Anderson), 2 P50CA127001-11, 09/01/2019-08/31/2023
Co-Investigator, Stanford University Cancer Center, PI – Steve Artandi, P30 CA124435, NCI, 09/15/10-05/31/22
Co-Investigator, Ovarian Cancer Survival in African-American Women, PI, Joellen Schildkraut, R01 CA237318-01A1, NIH/NCI, 07/01/2020-06/31/2025 -
James D. Brooks
Keith and Jan Hurlbut Professor
Current Research and Scholarly InterestsWe use genomic approaches to identify disease biomarkers. We are most interested in translating biomarkers into clinical practice in urological diseases with a particular focus in cancer.
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Jennifer Caswell-Jin
Assistant Professor of Medicine (Oncology)
Current Research and Scholarly InterestsMy research is on the translational application of next-generation sequencing technologies to breast cancer care: (1) the value of hereditary cancer genetic panel testing in clinical practice, (2) the mechanisms by which inherited genetic variants lead to breast cancer development, and (3) the analysis of somatic tumor sequencing data to inform understanding of breast tumorigenesis, metastasis, and development of resistance in response to therapeutics.
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Michelle M. Chen, MD, MHS, FACS
Assistant Professor of Otolaryngology - Head & Neck Surgery (OHNS)
BioDr. Chen is a fellowship-trained head and neck surgical oncologist with a board certification in otolaryngology and an assistant professor with the Stanford School of Medicine Department of Otolaryngology.
Her practice focuses on the treatment of cancers that affect the head and neck. She has received additional training in microvascular reconstruction and transoral robotic surgery.
Dr. Chen has an active lab involved in head and neck cancer health services research and her work has appeared in numerous journals, including The Journal of the American Medical Association, Cancer, Journal of the National Cancer Institute, and Journal of Clinical Oncology. She has also authored chapters in textbooks on head and neck cancer treatment.
Dr. Chen is a member of the American Academy of Otolaryngology—Head & Neck Surgery (AAOHNS) and the American Head & Neck Society. -
Victoria Cosgrove
Assistant Professor of Psychiatry and Behavioral Sciences (Child and Adolescent Psychiatry and Child Development)
Current Research and Scholarly InterestsDr. Cosgrove studies putative roles for life and family stress as well as inflammatory and neurotrophic pathways in the etiology and development of mood disorders across the life span.
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Christina Curtis
RZ Cao Professor and Professor of Genetics
Current Research and Scholarly InterestsThe Curtis laboratory is focused on the development and application of innovative computational, analytic and experimental approaches to improve the diagnosis, treatment, early detection and interception of cancer.
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James C. Dickerson, MD MS
Clinical Assistant Professor, Medicine - Oncology
BioDr. Dickerson is a medical oncologist in the Division of Medical Oncology at Stanford University School of Medicine, specializing in the care of patients with breast cancer. In addition to seeing patients in the clinic, he researches how health policy, data science, and emerging technologies can improve cancer care delivery. His research group focuses on three core objectives: (1) developing financially sustainable cancer care programs, (2) analyzing large clinical and administrative datasets to identify gaps where policy can improve equity and outcomes, and (3) conducting clinical and implementation research to determine the most effective ways to deliver high-quality, evidence-based oncology care.
Across these objectives, Dr. Dickerson integrates traditional real-world data analytics with modern natural language processing approaches, including large language models, to study cancer care delivery. His group develops and applies LLM-based tools to improve the extraction, structuring, and interpretation of complex clinical information from electronic health records, to enhance clinical decision-making, care coordination, and health policy evaluation.
Dr. Dickerson received his undergraduate degree from Vanderbilt University and graduated magna cum laude from the University of Mississippi Medical Center. He completed his internship and residency in Internal Medicine at Stanford University, followed by fellowship training in Hematology and Oncology. During his fellowship, Dr. Dickerson earned a Master’s degree in Health Policy and completed post-doctoral research in the Department of Health Policy. -
Christopher Gardner
Rehnborg Farquhar Professor
Current Research and Scholarly InterestsThe role of nutrition in individual and societal health, with particular interests in: plant-based diets, differential response to low-carb vs. low-fat weight loss diets by insulin resistance status, chronic disease prevention, randomized controlled trials, human nutrition, community based studies, Community Based Participatory Research, sustainable food movement (animal rights and welfare, global warming, human labor practices), stealth health, nutrition policy, nutrition guidelines
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Olivier Gevaert
Associate Professor of Medicine (Computational Medicine) and of Biomedical Data Science
Current Research and Scholarly InterestsMy lab focuses on biomedical data fusion: the development of machine learning methods for biomedical decision support using multi-scale biomedical data. We primarily use methods based on regularized linear regression to accomplish this. We primarily focus on applications in oncology and neuroscience.
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Bonnie Halpern-Felsher
Marron and Mary Elizabeth Kendrick Professor of Pediatrics and Professor, by courtesy, of Epidemiology and Population Health and of Psychiatry and Behavioral Sciences (Child and Adolescent Psychiatry)
Current Research and Scholarly InterestsResearch focuses on developmental, cognitive and psychosocial factors involved in adolescents’ and young adults’ health-related decision-making, perceptions of risk and vulnerability, health communication and risk behavior. My research has focused on understanding and reducing health risk behaviors such as tobacco use, alcohol and marijuana use, risky driving, and risky sexual behavior.
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Summer Han
Associate Professor (Research) of Neurosurgery, of Medicine (Computational Medicine) and, by courtesy, of Epidemiology and Population Health
Current Research and Scholarly InterestsMy current research focuses on understanding the genetic and environmental etiology of complex disease and developing and evaluating efficient screening strategies based on etiological understanding. The areas of my research interests include statistical genetics, molecular epidemiology, cancer screening, health policy modeling, and risk prediction modeling. I have developed various statistical methods to analyze high-dimensional data to identify genetic and environmental risk factors and their interactions for complex disease.
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Lisa Henriksen
Associate Professor (Research) of Medicine (Stanford Prevention Research Center)
Sr Research Engineer, Medicine - Stanford Prevention Research CenterCurrent Research and Scholarly InterestsMy research aims to improve our understanding of the health risks associated with exposure to tobacco marketing and provide a scientific rationale for new policies to reduce it. I also study use of media to promote and discourage adolescent tobacco use, and the impact of tobacco advertising on urge and craving to smoke.
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Tina Hernandez-Boussard
Professor of Medicine (Computational Medicine), of Biomedical Data Science, of Surgery and, by courtesy, of Epidemiology and Population Health
Current Research and Scholarly InterestsMy background and expertise is in the field of computational biology, with concentration in health services research. A key focus of my research is to apply novel methods and tools to large clinical datasets for hypothesis generation, comparative effectiveness research, and the evaluation of quality healthcare delivery. My research involves managing and manipulating big data, which range from administrative claims data to electronic health records, and applying novel biostatistical techniques to innovatively assess clinical and policy related research questions at the population level. This research enables us to create formal, statistically rigid, evaluations of healthcare data using unique combinations of large datasets.
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Ann Hsing
Professor (Research) of Medicine (Stanford Prevention Research Center/Cancer Institute) and of Epidemiology and Population Health
Current Research and Scholarly InterestsResearch Focus
• Epidemiology of prostate, hepatobiliary, and thyroid cancers
• Racial disparities in cancer
• Endogenous hormones/growth factors
• Circadian rhythms
• Chronic inflammation
• Genetic susceptibility
• Cancer prevention and control
• Global oncology and international studies
