School of Medicine
Showing 51-58 of 58 Results
Clinical Associate Professor, Psychiatry and Behavioral Sciences - Child and Adolescent Psychiatry
Current Research and Scholarly Interests Dr. 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.
Bio Helio Costa, PhD, is a medical geneticist with expertise in oncology, medical genetics and genomics, computational biology, data science, software engineering, and product development. He is passionate about leveraging his interdisciplinary skillset to build and develop commercial-grade healthcare tools that aid in patient care and clinical decision support.
Dr. Costa's research focuses on developing, clinically validating, and implementing new medical diagnostic genetic tests and software for use at Stanford Health Care. His research group is also developing clinical algorithms using large-scale clinical laboratory datasets and patient electronic medical records to predict patient outcomes and aid in therapeutic clinical decision support.
He is a co-Investigator on the NIH-funded Clinical Genome Resource (ClinGen) Consortium, and leads the engineering and product management teams developing FDA-recognized medical software applications used by healthcare providers, researchers, and biotechnology companies to define the clinical relevance of genes and mutations identified in patients.
Dr. Costa is the founding director of the Stanford Clinical Data Science Fellowship where post-doctoral fellows engage in interdisciplinary clinical research and embed in health care workflows learning, building and deploying real-world health data solutions in the Stanford Health Care system. Additionally, he is an Attending Medical Geneticist, and Assistant Lab Director for the Molecular Genetic Pathology Laboratory at Stanford Health Care.
Dr. Costa received his BS in Genetics from University of California at Davis, his PhD in Genetics from Stanford University School of Medicine, and his ABMGG Clinical Molecular Genetics and Genomics fellowship training from Stanford University School of Medicine.
Professor of Pathology (Clinical) and, by courtesy, of Pediatrics (Genetics) at the Stanford University Medical Center
Current Research and Scholarly Interests screening and diagnosis of patients with inborn errors of metabolism, including newborn screening, development of new testing methods and genotype/phenotype correlations.
Kenneth L. Cox
Professor of Pediatrics (Gastroenterology) at the Lucile Salter Packard Children's Hospital, Emeritus
Current Research and Scholarly Interests Gastroenterology, biliary motility, hormonal regulation, embryology, gastrointestinal tract, clinical management of pediatric liver transplant recipients.
Assistant Professor of Psychology
Current Research and Scholarly Interests Our lab focuses on how subjective mindsets (e.g., thoughts, beliefs and expectations) can alter objective reality through behavioral, psychological, and physiological mechanisms. We are interested in understanding how mindsets affect important outcomes both within and beyond the realm of medicine, in the domains such as exercise, diet and stress. https://mbl.stanford.edu/
Mark R. Cullen, MD
Director, Center for Population Health Sciences, Professor of Medicine, of Biomedical Data Science, of Health Research & Policy & Senior Fellow at the Stanford Institute for Economic Policy Research
Current Research and Scholarly Interests Social and environmental determinants of health; role of workplace physical environment and work organization as causes of chronic disease and disability
Assistant Professor of Pediatrics (Stem Cell Transplantation)
Current Research and Scholarly Interests Dr. Czechowicz’s research is aimed at understanding how hematopoietic stem cells interact with their microenvironment in order to subsequently modulate these interactions to improve bone marrow transplantation and unlock biological secrets that further enable regenerative medicine broadly. This work can be applied across a variety of disease states ranging from rare genetic diseases, autoimmune diseases, solid organ transplantation, microbiome-augmentation and cancer.