Stanford University
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Rebecca M. Gardner
Ph.D. Student in Epidemiology and Clinical Research, admitted Autumn 2022
BioMy research interests are in maternal nutrition and well-being, with a focus on hyperemesis gravidarum (HG), defined as severe nausea and vomiting during pregnancy that often leads to significant maternal undernutrition, poor antepartum and postpartum mental health, and is the second leading cause of hospitalization during pregnancy. I am interested in the link between HG and maternal and child outcomes, particularly hypertensive disorders of pregnancy and neurobehavioral disorders in childhood like autism; and whether certain environmental exposures, including ambient air pollution and wildfires, exacerbate HG symptoms, leading to hospitalization. Additionally, I am interested in applying causal methods traditionally used in economics to public health.
Before starting a PhD, I was a biostatistician in the Quantitative Sciences Unit at Stanford for four years where I co-authored over thirty publications, collaborating with clinicians on various domains including developmental behavioral pediatrics, reproductive endocrinology & infertility, oncology, and clinical trials. I completed my MS in Statistics at Brigham Young University in 2016, where I collaborated with cardiologists to develop a new approach to diagnose rheumatic heart disease in pediatric patients in Samoa for my Master's thesis. -
Joseph Garner
Professor of Comparative Medicine and, by courtesy, of Psychiatry and Behavioral Sciences
Current Research and Scholarly InterestsThe medical research community has long recognized that "good well-being is good science". The lab uses an integrated interdisciplinary approach to explore this interface, while providing tangible deliverables for the well-being of human patients and research animals.
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Matthias Garten
Assistant Professor of Microbiology and Immunology and of Bioengineering
Current Research and Scholarly InterestsWith a creative, collaborative, biophysical mindset, we aim to understand the ability non-model organisms to interface with environment to a point at which we can exploit the mechanisms finding cures against diseases and use the mechanisms as tools that we can use to engineer the environment. By developing approaches that allow a quantitative understanding and manipulation of molecular transport our research makes non-model organisms accessible to researchers and engineers.
Specifically, we are studying how the malaria parasite takes control over red blood cells. By learning the biophysical principles of transport in between the host and the parasite we can design ways to kill the parasite or exploit it to reengineer red blood cells. The transport we study is broadly encompassing everything from ions to lipids and proteins. We use variations of quantitative microscopy and electrophysiology to gain insight into the unique strategies the parasite evolved to survive. -
Olya Gary
Web Designer 3, OHNS/Otolaryngology/Head & Neck Surgery
Current Role at StanfordAs a senior web designer at Otolaryngology — Head & Neck Surgery Department and a member of the OHNS web team, I support the entire department web presence: http://med.stanford.edu/ohns.html.
I oversee a large number of projects related to the main OHNS site, research lab Wordpress sites, work on the website updates, and create visuals and photographs highlighting the department teams and places. I work with a large number of the department team members - from the administrative staff to the faculty members. -
Marco Gassner
Graduate, Medicine, Psychiatry and Behavioral Sciences
BioMarco is a Visiting Research Scholar in the Division of Interdisciplinary Brain Sciences at the Department of Psychiatry and Behavioral Sciences, where he contributes to projects at the Mental Health Technology and Innovation Hub. His research focuses on child and adolescent mental health, with a particular interest in digital interventions.
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Sergios Gatidis
Associate Professor of Radiology (Pediatric Radiology)
BioDr. Gatidis completed his medical training at the University of Tuebingen / Germany and received his Diploma in Mathematics from from the Universities of Tuebingen and Hagen / Germany. His research is focused on on methods and applications of machine learning for medical data analysis and translation of AI into clinical practice.
