School of Medicine
Showing 3,861-3,880 of 13,064 Results
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Paul Goldschmidt
Affiliate, Med/DOM Faculty Leadership
BioBachelor of Science - Hamburg University of Applied Sciences
Class Tutor - Experimental Physics
Software Engineer / Student Researcher - Stanford Biodesign Digital Health
Founder, CEO @ Dotreflection GmbH - Startup for large-scale medical communication platforms
Member - Permafrost Young Researchers Network (PYRN)
Member - German Physical Society
Scholar, Spokesperson - German Academic Scholarship Foundation (Studienstiftung des Deutschen Volkes) -
Mary Kane Goldstein
Professor of Health Policy, Emerita
Current Research and Scholarly InterestsHealth services research in primary care and geriatrics: developing, implementing, and evaluating methods for clinical quality improvement. Current work includes applying health information technology to quality improvement through clinical decision support (CDS) integrated with electronic health records; encoding clinical knowledge into computable formats in automated knowledge bases; natural language processing of free text in electronic health records; analyzing multiple comorbidities
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Andrea Goldstein-Piekarski
Assistant Professor (Research) of Psychiatry and Behavioral Sciences (Sleep Medicine)
BioDr. Goldstein-Piekarski directs the Computational Psychiatry, Neuroscience, and Sleep Laboratory (CoPsyN Sleep Lab) as an Assistant Professor in the Department of Psychiatry and Behavioral Sciences at Stanford University School of Medicine and PI within the Sierra-Pacific Mental Illness Research, Education and Clinical Center (MIRECC) at the Palo Alto VA. She received her PhD in 2014 at the University of California, Berkeley where she studied the consequences of sleep on emotional brain function. She then completed a Postdoctoral fellowship at Stanford focusing on understanding the brain basis of anxiety and depression.
As the director of the CoPsyN Sleep Lab she is developing a translational, interdisciplinary research program that combines human neuroimaging, high-density EEG sleep recording, and computational modeling to understand the neural mechanisms through which sleep disruption contributes to affective disorders, particularly depression, across the lifespan. The ultimate goals of this research are to (1) develop mechanistically-informed interventions that directly target aspects of sleep and brain function to prevent and treat affective disorders and (2) identify novel biomarkers which can identify which individuals are most likely to experience improved mood following targeted sleep interventions.
This work is currently supported by The KLS Foundation, a R01 from National Institute of Mental Health, and a R61 from the National Institute of Mental Health. -
Deana L. Golini
Coach, SOM Career Center
BioB.S. in Communications, Boston University
M.Ed in Education Administration, Providence College
M.A.E in Art Education, University of Massachusetts Dartmouth -
Ola Golovinsky, M.S.
Medical Education Team Manager, Psychiatry and Behavioral Sciences
Current Role at StanfordMedical Education Team Manager, Department of Psychiatry & Behavioral Science
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Bruna Gomes
Assistant Professor of Medicine (Cardiovascular Medicine) and, by courtesy, of Biomedical Data Science
Current Research and Scholarly InterestsThe Gomes Lab is interested in AI agents and causal discovery methods that trace how genetic variation acts through proteins and other molecular traits to cause heart disease, and it advances promising candidate targets to experimental validation. In parallel, with support from an American Heart Association Career Development Award, the lab studies the causal protein drivers of cardiac fibrosis and develops methods to characterize myocardial tissue from routine cine MRI.
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Juan Sebastián Gómez-Cañón
Postdoctoral Scholar, Psychiatry
BioJuan S. Gómez-Cañón is a researcher, engineer and musician from Colombia. He holds a Ph.D. in Information and Communication Technologies from the Universitat Pompeu Fabra (Barcelona, Spain). During his Ph.D., Juan researched human-centered and trustworthy machine learning methods to predict the emotions in music. His research focuses on deep learning, human-centered ML, personalization, dataset curation, and digital signal processing. Juan also holds a M.Sc. in Media Technology (Technische Universität Ilmenau, Germany), a B.Sc. in Electronics Engineering and a B.A. in Music (Universidad de los Andes, Colombia).
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Natalia Gomez-Ospina
Assistant Professor of Pediatrics (Genetics)
Current Research and Scholarly Interests1. Genome Editing and HSPC-Based Therapeutics
Dr. Gomez-Ospina’s research focuses on developing autologous hematopoietic stem and progenitor cell therapies using CRISPR/Cas9-mediated genome editing. Her work includes targeted integration of therapeutic transgenes into genomic safe-harbor loci, optimization of editing efficiency and safety, and development of transplantation and conditioning strategies that preserve long-term engraftment. A major goal is to create reusable, mutation-agnostic therapeutic platforms that can be adapted across diseases. Her translational work also extends to GMP manufacturing, analytical development, and IND-enabling studies needed to move genome-edited HSPC products toward clinical trials.
2. Neurometabolic and Neurodegenerative Disease Therapeutics
A major area of interest is the development of definitive therapies for lysosomal storage disorders and other neurogenetic diseases, including MPS I, Gaucher disease, Krabbe disease, progranulin deficiency, and Friedreich’s ataxia. Her laboratory investigates how hematopoietic-derived cells can deliver therapeutic proteins to peripheral tissues and the central nervous system. This includes strategies to enhance microglial replacement, improve CNS engraftment, and harness myeloid cells as therapeutic vehicles. The broader objective is to establish cell-based approaches capable of treating both inherited neurometabolic disorders and more common neurodegenerative diseases.
3. Rare Disease Genetics, Functional Genomics, and Lysosome Biology
Dr. Gomez-Ospina also studies the molecular basis of rare and undiagnosed genetic disorders. Through clinical genetics, international collaborations, and the NIH Undiagnosed Diseases Network, her work contributes to novel disease-gene discovery, functional validation of candidate variants, and definition of genotype–phenotype relationships. Her laboratory also investigates lysosomal biology and develops systems-level approaches, including the Lysosome Disease Atlas, to connect lysosome-associated genes with cellular function and human phenotypes. These efforts aim to improve diagnosis while identifying new disease mechanisms and therapeutic opportunities.
For more information go to our website:
https://www.gomezospina.com/
