Stanford University
Showing 9,771-9,780 of 34,363 Results
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Grace Gengoux, PhD, BCBA-D
Clinical Professor, Psychiatry and Behavioral Sciences - Child & Adolescent Psychiatry and Child Development
Current Research and Scholarly InterestsDr. Grace Gengoux is Director of the Autism Intervention Clinic and leads an autism intervention research program focused on developing and evaluating promising behavioral and developmental treatments for Autism Spectrum Disorder (ASD).
Dr. Gengoux is also Associate Chair for Faculty Engagement & Well-being and Department Well-being Director in the Department of Psychiatry and Behavioral Sciences, leading the department's Standing Well-being Advisory Committee. -
Jacqueline Genovese
Academic Prog Prof 3, School of Medicine - Biomedical Ethics
Current Role at StanfordExecutive Director of the Medicine & the Muse Program
LEAD Program for Residents, Mentor (2021-2024)
Member of Stanford School of Medicine Staff Collective
Steering Committee Member: Health Humanities Consortium (2019-2024)
Teaching Lead, War Literature & Writing class for military affiliated students
Co-teacher, War and Fiction for non military and military affiliated students (2017-2109)
Facilitator, Literature & Medicine Dinner & Discussion Series
Co-Lead: Frankenstein@200 2017-2018 Initiative
Member of Stanford Medicine Arts & Mindfulness Committee (Stanford Health) -
Mark Genovese
James W. Raitt M.D. Professor, Emeritus
Current Research and Scholarly InterestsClinical trials and interventions in the rheumatic diseases including Rheumatoid Arthritis,Systemic Lupus Erythematosus, Systemic Sclerosis, Osteoarthritis.
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Danielle Gensch
State, Local, and International Government Information Librarian, Social Sciences Resource Group
Current Role at StanfordState, Local, & International Government Information Librarian; Social Sciences Resource Group
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Michael Gensheimer, MD
Clinical Associate Professor, Radiation Oncology - Radiation Therapy
Current Research and Scholarly InterestsIn addition to my clinical research in head and neck and lung cancer, I work on the application of computer science and machine learning to cancer research. I develop tools for analyzing large datasets to improve outcomes and safety of cancer treatment. I developed a machine learning prognostic model using data from around 13,000 patients with metastatic cancer which performs better than traditional models and physicians [PubMed ID 33313792]. We recently completed a prospective randomized study in thousands of patients in which the model was used to help improve advance care planning conversations.
I also work on the methods underpinning observational and predictive modeling research. My open source nnet-survival software that allows use of neural networks for survival modeling has been used by researchers internationally. In collaboration with the Stanford Research Informatics Center, I examined how electronic medical record (EMR) survival outcome data compares to gold-standard data from a cancer registry [PubMed ID 35802836]. The EMR data captured less than 50% of deaths, a finding that affects many studies being published that use EMR outcomes data.
