Stanford University
Showing 171-180 of 651 Results
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Paul-Andre Genest
Adjunct Professor, Epidemiology and Population Health
BioDr. Paul-André Genest is an Assistant Director and Publisher at the American Chemical Society where he is responsible for the management of roughly a third of the ACS journals portfolio and Editorial Development team. Since 2016, he is an Adjunct Professor at Stanford University where he co-teaches a yearly course on scholarly communication (BIOS 292: Preparation and Practice: Scientific Communication & Media). Previously, he worked as a Publisher and Senior Editor at Wiley and as an Associate Publisher and Scientific Editor at Elsevier. Dr. Genest has a BSc (Biology) degree and a MSc (Microbiology-Immunology) degree from the Université Laval in Québec City, Canada, and a PhD (Molecular Parasitology) from the University of Amsterdam, The Netherlands. He held two postdoc research positions at the Netherlands Cancer Institute in Amsterdam, The Netherlands before transitioning to the scholarly publishing industry.
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Linda N. Geng, MD, PhD
Clinical Associate Professor, Medicine - Primary Care and Population Health
Current Research and Scholarly InterestsMy scholarly interests are focused on defining, studying, and improving patients' diagnostic journeys. What prolongs the journey to the correct diagnosis and how can we shorten it? With this question in mind, we are exploring crowdsourcing, informatics/AI, health data visualization, and advanced laboratory testing as ways to help tackle the toughest cases in medicine-- complex, rare, and mystery conditions.
With the COVID pandemic, the puzzling and complex illness of post-acute COVID-19 syndrome (PACS) or long COVID came to light. Together with a multidisciplinary group of physicians and researchers, we launched a program here at Stanford to advance the care and understanding of PACS. Our goal is to better understand the natural history, clinical symptomatology, immunological response, risk factors, and subgroup stratification for PACS. We are also actively assessing management strategies that may be effective for heterogeneous PACS symptoms. -
Grace Gengoux
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
Member of Stanford School of Medicine JEDI Collective
Member SCBE Diversity Committee
Steering Committee Member: Health Humanities Consortium
Teaching Lead, War Literature & Writing class for military affiliated students
Co-teacher, War and Fiction for non military and military affiliated students
Facilitator, Literature & Medicine Dinner & Discussion Series
Co-lead Stuck@Home Concert series
Co-Lead: Frankenstein@200 2017-2018 Initiative
Stanford Supervisory Academy (completed) -
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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Michael Gensheimer
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. -
Andrew Gentles
Assistant Professor (Research) of Pathology, of Medicine (BMIR) and, by courtesy, of Biomedical Data Science
Current Research and Scholarly InterestsComputational systems biology
