Stanford University
Showing 26,501-26,510 of 34,448 Results
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Walter Scheidel
Dickason Professor of the Humanities and Professor of History
BioPersonal website: http://www.walterscheidel.com
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Celine Scheidt
Sr Res Engineer, Energy Science & Engineering
BioCéline Scheidt has worked extensively in uncertainty modeling, sensitivity analysis, geostatistics and in the use of distance-based methods in reservoir modeling. She obtained her PhD at Strasbourg University and the IFP (France) in applied mathematics, with a focus on the use of experimental design and geostatistical methods to model response surfaces.
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David Scheinker
Clinical Professor, Pediatrics - Endocrinology
Clinical Professor, MedicineBioDavid Scheinker is the Executive Director of Systems Design and Collaborative Research at the Stanford Lucile Packard Children's Hospital. He is the Founder and Director of SURF Stanford Medicine, a group that brings together students and faculty from the university with physicians, nurses, and administrators from the hospitals. SURF has implemented and published dozens of projects demonstrating improvements to the quality and efficiency of care. His areas of focus include clinical care delivery, technical improvements to hospital operations, sensor-based and algorithm-enabled telemedicine, and the socioeconomic factors that shape healthcare cost and quality.
Before coming to Stanford, he was a Joint Research Fellow at The MIT Sloan School of Management and Massachusetts General Hospital. He received a PhD in theoretical math from The University of California San Diego under Jim Agler. He advises Carta Healthcare, a healthcare analytics company started by former students. -
Allegra Hosford Scheirer
Physical Science Research Scientist, Earth & Planetary Sciences
Current Research and Scholarly InterestsResearch
Allegra Hosford Scheirer is a research geophysicist at Stanford University, specializing in basin and petroleum system modeling. Her work is centered on the strong belief in the integration of geological, geochemical, and geophysical data in a unified working environment.
Teaching
She co-teaches courses and co-advises several graduate students with a focus on basin and petroleum system modeling and investigative methods for exploring conventional and unconventional hydrocarbons.
Professional Activities
Prior to joining Stanford, Allegra was a member of the Geophysical Unit of Menlo Park and the Energy Resources Program at the U.S. Geological Survey, where she constructed three-dimensional geologic models for use in the resource assessment process. Allegra has led and participated in numerous field programs at sea and in the United States. She is the editor of U.S.G.S. Professional Paper 1713 and a past Associate Editor of Journal of Geophysical Research. -
Eva L. Scheller
Assistant Professor of Earth and Planetary Sciences
Current Research and Scholarly InterestsPlanetary surface chemistry of terrestrial and icy worlds
What are the chemical inventories across the surfaces of solid planetary bodies? How were primary surface chemistry trends created through processes governing solid body planetary evolution? To what extent is in-situ characterized planetary surface chemistry (ices, volatiles, salts, aqueous minerals, organic compounds) tracers of ancient planet-shaping reactions, environmental and physical conditions, and geological processes?
Long-term planetary volatile evolution
How do geochemical reactions between terrestrial body atmospheres, surfaces, crust, and interiors affect the evolution of Mars and Venus’ atmospheres and habitable surface environments over geological time? What are the major inventories of volatiles on terrestrial and icy worlds, how do they change, and how are they lost/retained over time?
Numerical, probabilistic, and autonomous methods for planetary chemistry
How can we infer material compositions and chemical processes while rigorously quantifying uncertainty and ambiguity in sparse planetary datasets? How can laboratory measurements, physical models, and spacecraft observations be combined into coherent chemical interpretations? How can we develop trustworthy autonomous methods that rigorously maximizes chemical information yield from spacecraft missions and minimizes human bias?
Spaceflight instrumentation for planetary chemical analysis
How can planetary missions make reliable and quantified chemical discoveries with limited measurements and incomplete prior knowledge? How can instruments detect trace compounds and distinguish genuine chemical signatures from contamination, instrumental artifacts, and degenerate signals? How can we maximize chemical information within engineering and mission constraints? Can scientific output of planetary missions be optimized reliably through intelligent instrumentation and autonomous decision-making?
