School of Medicine
Showing 11,751-11,800 of 13,097 Results
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Laura van Dam
Postdoctoral Scholar, Immunology and Rheumatology
BioI am both trained as a biomedical researcher and medical doctor in internal medicine and strive to close the gap between the clinic and fundamental sciences with translational research. My focus is to study the mechanisms of autoimmune diseases and to translate research insights into therapeutics targeting autoimmunity. I have received my PhD in 2022 in Leiden for studying neutrophil extracellular traps and autoreactive B cells in renal autoimmune diseases. My postdoctoral research project in the Robinson lab focuses on investigating the underlying molecular mechanisms of the pathogenesis of ANCA-associated vasculitis. I particularly aim to identify potential microbial triggers and molecular mimicry in ANCA-associated vasculitis, by characterizing the nasal microbiome and sequencing T cells and B cells of ANCA-associated vasculitis patients.
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Matt van de Rijn
Sabine Kohler, MD, Professor of Pathology, Emeritus
Current Research and Scholarly InterestsOur research focuses on molecular analysis of human soft tissue tumors (sarcomas) with an emphasis on leiomyosarcoma and desmoid tumors. In addition we study the role of macrophages in range of malignant tumors.
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Stephanie Van de Ven
Member, Stanford Cancer Institute
BioAs Deputy Director of the Canary Center at Stanford for Cancer Early Detection I broadly oversee its operations and research programs. The Canary Center is focused on developing in vitro and in vivo tools for early cancer detection and its research spans the areas of biomarker discovery, development of molecular imaging agents, development of new diagnostic and imaging devices, and mathematical modeling. In my position I facilitate the clinical translation of cancer diagnostic tools and I enable innovative interdisciplinary research. My research expertise includes leading phase I-II clinical trials to evaluate a newly developed optical breast imaging system in combination with a novel imaging agent. I gained valuable experience in clinical translation of medical devices and in testing new imaging agents for the first time in patients. My training as a Radiology resident was instrumental in my decision to focus on cancer early detection research, because it clearly confronted me with the problem that most cancer patients are being diagnosed too late. I expanded my knowledge on biomarker research by developing proteomics assays during my postdoctoral fellowship at Stanford, in conjunction with my continued work in optical and photoacoustic molecular imaging. In my current role, I work with the faculty of the Canary Center and the Molecular Imaging Program at Stanford, and am committed to advancing cancer research by applying my medical training, clinical knowledge, and research expertise to managing collaborative programs and contribute to the success of the Center and its faculty.
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Laurens van de Wiel
Postdoctoral Scholar, Cardiovascular Medicine
BioI am a post-doctoral researcher at Stanford University under supervision of Matthew Wheeler and Stephen Montgomery. My research focuses on understanding the entire spectrum of genetic variation effects on protein function and structure in order to decipher molecular mechanisms of disease.
My post-doctoral work centers on developing novel software methodologies which combine multi-omics data to interpret the functional impact of genetic variants in undiagnosed patients. I am part of the Undiagnosed Disease Network (UDN) at Stanford Center for Undiagnosed Diseases (CUD), Genomics Research to Elucidate the Genetics of Rare Diseases (GREGoR) consortium at GREGoR Stanford Site (GSS), and the Molecular Transducers of Physical Activity Consortium (MoTrPAC) at the Bioinformatics Center (BIC).
Before joining Stanford. I was received my Ph.D. in 2021 at the Radboud University Medical Center under supervision of Christian Gilissen, Gert Vriend, and Joris Veltman. I received my MSc degree in 2014 at Radboud University under supervision of Tom Heskes, Evgeni Levin, and Armand Paauw. Before my Ph.D, I worked as a Data Scientist at FLXone, where I developed machine learning solutions within a large-scale, real-time infrastructure.
Research
I am interested in a variety of topics in Bioinformatics and Computer Science. In particular, I am interested in the application of Artificial Intelligence and Statistical Modelling to analyse human (Rare) Mendelian Disease Genetics, Evolutionary Comparative Genomics, Protein Domain Homology, and Molecular Structures. -
Pieter van der Starre
Professor of Anesthesiology, Perioperative and Pain Medicine at the Stanford University Medical Center, Emeritus
Current Research and Scholarly InterestsCardiovascular Pharmacology, Cardiovascular Physiology,
Neurophysiology and Monitoring,
Transesophageal Echocardiography -
Keith Van Haren, MD
Associate Professor of Neurology and Neurological Sciences (Pediatric Neurology) and of Pediatrics
Current Research and Scholarly InterestsOur research team is working to develop new treatments for children at risk of neurodegenerative diseases. We are primarily focused on multiple sclerosis and X-linked adrenoleukodystrophy, two conditions that involve inflammatory and metabolic disruption of the myelin that insulates brain cells. A key area of interest for us is how nutrient deficiencies during childhood may contribute to the disease processes and whether nutritional interventions could play a role in prevention.
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Krisa Van Meurs
Rosemarie Hess Professor, Emerita
Current Research and Scholarly InterestsMy research interests include persistent pulmonary hypertension of the newborn, hypoxic respiratory failure, inhaled nitric oxide therapy, ECMO, congenital diaphragmatic hernia, neonatal clinical trials, and the use of aEEG and NIRS to detect brain injury.
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Roxanna Van Norman
Sr. Marketing Manager, Cardiothoracic Surgery
Current Role at StanfordSr. Marketing Manager, Stanford University School of Medicine, Department of Cardiothoracic Surgery
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Mark Van Orden
Postdoctoral Scholar, General Internal Medicine
BioMark Van Orden is a postdoctoral scholar at the Stanford School of Medicine. His research applies causal inference and natural experiments to questions at the intersection of economics and health. His current work examines how shingles vaccination affects brain structure using MRI data from the UK Biobank, providing the first causal neuroimaging evidence of how vaccination protects against dementia. He received his PhD in Economics from the University of California, Irvine.
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Max Van Puyvelde
Graduate, Medicine, School of Medicine
BioMax Van Puyvelde is a PhD student and Visiting Student Researcher at the Division of Computational Medicine at Stanford University, jointly supervised by Prof. Olivier Gevaert (Stanford) and Prof. Wim Van Criekinge (Ghent University). His research centers on foundation models and deep learning for medical imaging, with a focus on 3D vision models, vision-language models, and multimodal fusion across imaging, clinical, and genomic data. Max holds a background in bioinformatics and machine learning, with prior experience across startups, consulting, and scientific advising in the AI space.
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Capucine Van Rechem
Member, Bio-X
Current Research and Scholarly InterestsMy long-term interest lies in understanding the impact chromatin modifiers have on disease development and progression so that more optimal therapeutic opportunities can be achieved. My laboratory explores the direct molecular impact of chromatin-modifying enzymes during cell cycle progression, and characterizes the unappreciated and unconventional roles that these chromatin factors have on cytoplasmic function such as protein synthesis.
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Peter Johannes van Roessel
Clinical Professor, Psychiatry and Behavioral Sciences
BioDr. Peter van Roessel, MD, PhD, completed his MD at Stanford University and his residency training in psychiatry at Columbia University and the New York-Presbyterian Hospital in New York City, with additional training in psychodynamic psychotherapy via the Columbia University Center for Psychoanalytic Training and Research. Prior to joining the clinical faculty at Stanford, he worked for several years as Associate Director of the general research unit of the New York State Psychiatric Institute, a premier state-funded research hospital affiliated with Columbia University.
At Stanford, Dr. van Roessel sees adult mood and anxiety disorders outpatients through the Assessment and Psychodynamic Psychotherapy Clinics and participates in resident training and patient care as director of the resident Continuity Clinic and as a supervisor in psychodynamic psychotherapy. He additionally directs the third-year resident curriculum in psychopathology and psychopharmacology and co-leads a new adult outpatient ketamine-assisted psychotherapy clinic.
As Director of Clinical Research for the department's Rodriguez Translational Therapeutics Lab, he sees individuals with obsessive-compulsive spectrum disorders for evaluations and research-protocol driven clinical treatment and leads clinical neuroscience studies pioneering rapid-acting interventions in OCD. Clinically motivated research interests include the nature and neural correlates of metacognitive awareness ('insight') in OCD and related disorders, and particularly the relationship of awareness to mechanisms of attentional control and the processing of incongruity and error. Dr. van Roessel additionally contributes as co-investigator to the Suppes Exploratory Therapeutics Laboratory and to the Williams PANLab, on clinical trials advancing psychedelic-assisted psychotherapies and biomarker-informed precision medicine in depression and posttraumatic stress disorder.
Dr. van Roessel pursued research training in basic neuroscience prior to his clinical training, completing an MPhil in Biology via the Open University, UK, for research performed at the Max Planck Institute for Developmental Biology in Tübingen Germany, and a PhD in molecular and developmental neurobiology at the University of Cambridge, UK. He has contributed to work in the lab of Dr Julia Kaltschmidt (Stanford) on studies of GABAergic/Glutamatergic interneuronal circuity in mouse. He received a 2018 NARSAD Young Investigator Award to pursue study of nitrous oxide as a rapid-acting treatment for OCD, he was a 2020-2022 Miller Foundation Fellow, and from 2020 to 2022 was a Advanced Fellow in Mental Illness Treatment and Research via the Sierra Pacific Mental Illness Research, Education, and Clinical Center of the Palo Alto VA. Dr. van Roessel is a Fellow of the American Psychiatric Association and a member of the American College of Psychiatrists. -
Henk van Voorst
Postdoctoral Scholar, Radiology
BioDr. van Voorst is a postdoctoral scholar in Radiology studying the interfaces of artificial intelligence and neuroradiological imaging in stroke. Originally educated as an MD, Dr. van Voorst gained additional degrees in Finance and Data Science. As a PhD student, Dr. van Voorst focused on cost-effectiveness modeling and developed machine learning and deep learning algorithms with applications in acute ischemic stroke imaging. In his current research, Dr. van Voorst develops artificial intelligence algorithms to automatically extract information from arteries and veins in radiological stroke imaging.
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Vance Vanier, M.D.
Clinical Assistant Professor, Emergency Medicine
Current Research and Scholarly InterestsPrimary and secondary prevention of disease through the use of preventive genomic medicine. Patients who have greater insight into their genetic risk for different diseases may change their lifestyles and decrease their probablity of succumbing to conditions such as diabetes and cardiovascular events. Personalized screening regimens for those at increased genetic risk, such as for colon cancer, is another important application worthy of validation.
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Anubodh Sunny Varshney
Clinical Assistant Professor, Medicine - Cardiovascular Medicine
BioDr. Anubodh Sunny Varshney is a Clinical Assistant Professor, Medical Director of Mechanical Circulatory Support, and Associate Director of the Fellowship Program in the Section of Advanced Heart Failure, Transplant Cardiology, and Mechanical Circulatory Support at Stanford. In addition to caring for patients with advanced heart disease, he is also a clinical researcher and works to identify patient groups that have sub-optimal outcomes with current therapies, define benchmark outcomes that next generation therapies should improve upon, and understand factors that influence adoption of novel drug and device therapies for cardiovascular disease.
Dr. Varshney earned a BS in biomedical engineering from Washington University in St. Louis and an MD from the University of Texas Southwestern Medical School. He completed residency in Internal Medicine and fellowship in Cardiovascular Medicine at Brigham & Women’s Hospital/Harvard Medical School and fellowship in Advanced Heart Failure, Transplant Cardiology, and Mechanical Circulatory Support at Stanford University.
Dr. Varshney also has experience advising multiple medical device, drug, and digital health start-ups and currently serves as a Venture Advisor at Broadview Ventures, a philanthropically-funded, mission-driven investment organization that invests in early-stage companies developing technologies that have the potential to improve outcomes for patients with cardiovascular disease or stroke. -
Kunal Varshneya
MD Student with Scholarly Concentration in Clinical Research, expected graduation Spring 2027
BioMedical student interested in orthopedic surgery and big data analytics.
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Nina Vasan, MD, MBA
Clinical Assistant Professor, Psychiatry and Behavioral Sciences
Current Research and Scholarly InterestsAt Brainstorm: The Stanford Lab for Mental Health Innovation, we lead the way in digital well-being: translating cutting-edge research into practical solutions for healthier tech use.
We are first and foremost practicing physicians; we treat patients and families. Then, grounded by the foundational oath in medicine to “do no harm,” we help companies build products that prioritize user health with responsibility and care. Our work has shaped platforms used by millions—helping Pinterest design "compassionate search", guiding TikTok in healthy screen-time management, and partnering with ML Commons to establish the first mental health safety benchmarks for large language models (LLMs).
Brainstorm is further committed to “do good” by leveraging these technologies to build a healthier digital world. We advised Dove’s Self-Esteem Project and Real Beauty Prompt Playbook, which studied AI’s impact on beauty and set new digital standards of representation. Additionally, after sharing the results of research conducted with the Stanford Center for AI Safety on the ethics, efficacy, and safety of LLMs providing mental health support, we developed the “Framework for Healthy AI” to guide industry best practices in AI product innovation.
As we apply this expertise to improve users' daily lives, it’s clear that addressing digital intimacy presents unique challenges compared to traditional human relationships. This technology is still emerging, and we are all adapting to it in real-time as it evolves. The big question is: How can we help users cultivate healthy, safe digital relationships?
After seeing success with the Stanford Social Media Safety Plan, which reduced harmful digital behaviors among users, we are now designing the Stanford GenAI Psychological Safety Plan (GPS). The Stanford GPS is a tool to help individuals, tech developers, and policymakers navigate this new terrain and make informed decisions about AI’s role in mental health.
Check out the start of the Stanford GPS in Fortune: This 4-question quiz from Stanford psychiatrists can help protect from the dangers of AI. -
Minal Vasanawala
Clinical Associate Professor (Affiliated), Rad/Nuclear Medicine
Staff, Radiology - Diagnostic RadiologyCurrent Research and Scholarly InterestsPET/MRI, PETCT, and SPECT/CT applications in neuroimaging
Cardiac SPECT/CT and PET/CTA -
Shreyas Vasanawala, MD/PhD
William R. Brody Professor of Pediatric Radiology and Child Health
Current Research and Scholarly InterestsOur group is focused on developing new fast and quantitative MRI techniques.
