School of Engineering
Showing 471-480 of 690 Results
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Markus Pelger
Associate Professor of Management Science and Engineering and, by courtesy, of Finance at the Graduate School of Business
Current Research and Scholarly InterestsHis research focuses on understanding and managing financial risk. He develops mathematical financial models and statistical methods, analyzes financial data and engineers computational techniques. His research is divided into three streams: machine learning solutions to big-data problems in empirical asset pricing, statistical theory for high-dimensional data and stochastic financial modeling.
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Matthew Petrucci
Research Engineer, Bioengineering
BioMatt is the Scientific Program Manager for the Mobilize and FAIR Centers at Stanford University. He is interested in developing digital health tools that optimize human mobility and performance. His previous research has focused on cross-sectional, longitudinal, translational, and feasibility studies in people with Parkinson’s disease, people with multiple sclerosis, and firefighters. These studies included evaluating objective biomarkers of disease or performance, optimizing and evaluating novel treatments and interventions, developing real-time closed-loop algorithms, and clinical trials. He helps run the various scientific outreach and training programs of the Mobilize and FAIR Centers.
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Robert Phelts
Research Engineer, Program-Walter, T.
BioR. Eric Phelts is a research engineer in the Department of Aeronautics and Astronautics at Stanford University. His research involves signal monitoring techniques and analysis for SBAS, GBAS, and ARAIM.
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Piero Pianetta
Professor (Research) of Photon Science and of Electrical Engineering
BioPianetta's research is directed towards understanding how the atomic and electronic structure of semiconductor interfaces impacts device technology pertaining to advanced semiconductors and photocathodes. His research includes the development of new analytical tools for these studies based on the use of synchrotron radiation. These include the development of ultrasensitive methods to analyze trace impurities on the surface of silicon wafers at levels as low as 1e-6 monolayer (~1e8 atoms/cm2) and the use of various photoelectron spectroscopies (X-ray photoemission, NEXAFS, X-ray standing waves and photoelectron diffraction) to determine the bonding and atomic structure at the interface between silicon and different passivating layers. Recent projects include the development of high resolution (~30nm) x-ray spectromicroscopy with applications to energy materials such as Li batteries.
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Mert Pilanci
Associate Professor of Electrical Engineering
Current Research and Scholarly InterestsDr. Pilanci's research interests include neural networks, machine learning, mathematical optimization, information theory and signal processing.
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Rebecca Pinals
Assistant Professor of Chemical Engineering
BioThe brain is a fascinatingly complex and delicate system of biomolecules, cells, and dynamic interactions that must be carefully maintained to support human health. When this balance is disrupted, disease can arise. Neurodegenerative dementias including Alzheimer’s disease are highly prevalent and profoundly devastating, yet remain largely untreatable or incurable.
The Pinals Lab engineers neuro-models and nano-tools to uncover mechanisms of neurodegenerative disease and intervene to halt—and even reverse—disease progression. A particular emphasis of our work is on the blood–brain barrier (BBB), the vascular interface that serves as the molecular gateway into the brain. We leverage human induced pluripotent stem cells (iPSCs) to build 3D cellular systems, providing a platform to recapitulate human brain properties and pathologies. In parallel, we design nanoparticles to report on real-time neurochemical processes, enabling unprecedented access to dynamic and spatially resolved biomolecular phenomena, and to modulate disease states. By integrating advanced human brain tissue models with rationally designed nanotechnologies, we aim to generate fundamental insights and tools that translate into meaningful impacts for human health. -
Peter Pinsky
Professor of Mechanical Engineering, Emeritus
BioPinsky works in the theory and practice of computational mechanics with a particular interest in multiphysics problems in biomechanics. His work uses the close coupling of techniques for molecular, statistical and continuum mechanics with biology, chemistry and clinical science. Areas of current interest include the mechanics of human vision (ocular mechanics) and the mechanics of hearing. Topics in the mechanics of vision include the mechanics of transparency, which investigates the mechanisms by which corneal tissue self-organizes at the molecular scale using collagen-proteoglycan-ion interactions to explain the mechanical resilience and almost perfect transparency of the tissue and to provide a theoretical framework for engineered corneal tissue replacement. At the macroscopic scale, advanced imaging data is used to create detailed models of the 3-D organization of collagen fibrils and the results used to predict outcomes of clinical techniques for improving vision as well as how diseased tissue mechanically degrades. Theories for mass transport and reaction are being developed to model metabolic processes and swelling in tissue. Current topics in the hearing research arena include multiscale modeling of hair-cell mechanics in the inner ear including physical mechanisms for the activation of mechanically-gated ion channels. Supporting research addresses the mechanics of lipid bilayer cell membranes and their interaction with the cytoskeleton. Recent past research topics include computational acoustics for exterior, multifrequency and inverse problems; and multiscale modeling of transdermal drug delivery. Professor Pinsky currently serves as Chair of the Mechanics and Computation Group within the Department of Mechanical Engineering at Stanford.
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Grigore Pintilie
Research Scientist, Program-Chiu, W.
BioYork University, B.Sc. 1995-1999, Computer Science - Computer Graphics, HCI
University of Toronto, M.Sc. 1999-2001, Computer Science, Computer Graphics
Blueprint Initiative, 2001-2005 - Bioinformatics Research
MIT, Ph.D. 2005-2011 - Electrical Engineering and Computer Science, Biology - CryoEM map segmentation and fitting of atomic models
Baylor College of Medicine 2011-2017 - Scientific Programmer - Cryo-EM map analysis and atomic modeling
Stanford University 2017-present - Research Scientist - Cryo-EM map analysis and atomic modeling
