Stanford University
Showing 10,701-10,720 of 37,041 Results
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John Gill
Associate Professor of Electrical Engineering, Emeritus
BioGill's research interests are in the areas of computational complexity theory and information theory, including probabilistic computation, lossless data compression, and error correcting codes.
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Joshua Gillard
Postdoctoral Scholar, Cardiovascular Medicine
BioDr. Josh Gillard is a Canadian biomedical data scientist with experience in bioinformatics, machine learning, and immunology. After completing a BSc and a MSc in Experimental Medicine at McGill university, he relocated to the Netherlands for his PhD in bioinformatics at Radboud University in Nijmegen. During his PhD, he gained experience analyzing and interpreting complex immunological data (bulk and single-cell transcriptomics, high-dimensional cytometry, high-throughput proteomics) derived from human observational or intervention studies (vaccination and experimental human infection). This work revealed molecular and cellular correlates of clinically important endpoints such as disease severity, symptom progression, and antibody responses. In 2022, Josh relocated to Stanford to join the Gaudilliere lab to develop and apply multi-omic data integration and machine learning techniques, establishing that early gestational immune dysregulation can predict preterm birth. Since 2024, in the Ashley lab, Josh is developing deep learning models to investigate aberrant splicing in cardiovascular disease.
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Julia Gillespie
Director of Finance and Operations, Institute for Computational and Mathematical Engineering (ICME)
Current Role at StanfordI am the Director of Finance and Operations for the Institute for Computational Mathematics and Engineering within the School of Engineering.
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William Gilly
Professor of Oceans
Current Research and Scholarly InterestsMy work has contributed to understanding electrical excitability in nerve & muscle in organisms ranging from brittle-stars to mammals. Current research addresses behavior, physiology and ecology of squid through field and lab approaches. Electronic tagging plus in situ video, acoustic and oceanographic methods are used to study behaviors and life history in the field. Lab work focuses on control of chromogenic behavior by the chromatophore network and of locomotion by the giant axon system.
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James N. "Jim" Gilson, PE
Sr. Safety Engineer, Environmental Health and Safety (EH&S)
Staff, Environmental Health and Safety (EH&S)BioSafety and Risk Management Engineer Specializing in:
* Research technical safety and risk management.
* Electrical Safety in Research and Facilities.
* Energy Hazard Controls and Fail Safe Equipment Design.
* Risk Assessment of Research Equipment involved in Human Subject Studies.
* Facility Design Review focused on Risk Reduction and Safety Enhancement
* SOPs for Proprietary / Complex Research Equipment
* Safety and Risk Reduction Policy / Program Development / Implementation
* Technical / Complex Accident Investigation and Root Cause Analysis.
* Executive Management Risk and Safety Coaching.
* Safety Management Team Building, Facilitation and Mentorship
* Safety Training Development / Instruction
