School of Engineering
Showing 1,201-1,250 of 6,719 Results
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Yi Cui
Fortinet Founders Professor, Professor of Materials Science and Engineering, of Energy Science and Engineering, of Photon Science, Senior Fellow at Woods, at Precourt and Professor, by courtesy, of Chemistry
BioCui studies fundamentals and applications of nanomaterials and develops tools for their understanding. Research Interests: nanotechnology, batteries, electrocatalysis, wearables, 2D materials, environmental technology (water, air, soil), cryogenic electron microscopy.
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Murray Connelly Cutforth
Affiliate, Mechanical Engineering - Mechanics and Computation
BioMurray Cutforth is a research scientist on the PSAAP III project at the Center for Turbulence Research. He works with Professor Eric Darve on uncertainty quantification of laser-ignited turbulent combustion. During his PhD at the University of Cambridge, Murray studied sharp interface methods for multi-material flow, and subsequently has worked on applications of machine learning in medical image and text analysis in industry.
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Mark Cutkosky
Fletcher Jones Professor in the School of Engineering
BioCutkosky applies analyses, simulations, and experiments to the design and control of robotic hands, tactile sensors, and devices for human/computer interaction. In manufacturing, his work focuses on design tools for rapid prototyping.
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Simone D'Amico
Associate Professor of Aeronautics and Astronautics
On Partial Leave from 04/01/2026 To 06/30/2026BioSimone D’Amico is Associate Professor of Aeronautics and Astronautics (AA), W.M. Keck Faculty Scholar in the School of Engineering, Associate Professor of Geophysics (by Courtesy), Science Fellow at the Hoover Institution and Chief Science Officer at EraDrive Inc. He is the Founding Director of the Stanford Space Rendezvous Laboratory, Founding Co-Director of the Center for AEroSpace Autonomy Research (CAESAR), and Director of the Undergraduate Program in Aerospace Engineering at Stanford. He has 23+ years of experience in research and development of autonomous spacecraft and distributed space systems. He developed and deployed the distributed Guidance, Navigation, and Control (GNC) system of several formation-flying, rendezvous and proximity operations missions such as GRACE (NASA/DLR), PRISMA (OHB/DLR/CNES/DTU), TanDEM-X (DLR), BIROS (DLR) and PROBA-3 (ESA). Currently, he is the institutional PI of four autonomous satellite swarms funded by NASA (STARLING, STARI) and by NSF (VISORS, SWARM-EX). Dr. D'Amico is Fellow of AAS, Associate Fellow of AIAA, Associate Editor of the AIAA's JGCD and he is in the Advisory Board of four space start-ups focusing on distributed space systems for future applications in SAR remote sensing, orbital lifetime prolongation, and space-based solar power. He was the recipient of several awards, most recently the 2024 NASA Ames Honor Award for the Starling mission, Best Paper Awards at IAF (2022), IEEE (2021), AIAA (2021), AAS (2019) conferences, the M. Barry Carlton Award by IEEE (2020), the Leonardo 500 Award by the Leonardo da Vinci Society/ISSNAF (2019), FAI/NAA’s Group Diploma of Honor (2018), DLR’s Sabbatical/Forschungssemester (2012) and Wissenschaft Preis (2006), and NASA’s Group Achievement Award for the GRACE mission (2004). He received the B.S. and M.S. degrees from Politecnico di Milano (2003) and the Ph.D. degree from Delft University of Technology (2010).
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Marta D'Elia
Adjunct Professor, Institute for Computational and Mathematical Engineering (ICME)
BioI’m a research/computational scientist working on the design and analysis of models and data-driven algorithms for the simulation of complex, multiscale and multiphysics problems. My background and training have foundations in Numerical Analysis, Scientific Computing, Inverse Problems, Control and Optimization, and Uncertainty Quantification. In the past five years I have focused on Scientific Machine Learning (SciML) and Deep Learning. I am an expert in Nonlocal/Fractional Modeling and Simulation (10 years) with application to Continuum Mechanics, Subsurface Transport, Image Processing, and Turbulence. I have a master's degree in Mathematical Engineering from Politecnico di Milano (2007) and a PhD in Applied Mathematics from Emory University (2011).
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Rafaela Da Silva Presa
Graduate Visiting Researcher Student, Mechanical Engineering
BioRafaela is a master in Bioengineering (Molecular Biotechnology branch) since 2019 by Faculty of Engineering of University of Porto, Portugal (FEUP)/ School of Medicine and Biomedical Sciences of University of Porto (ICBAS) with her MSc thesis done in the field of biomaterials for bone cancer treatment and regeneration simultaneously.
Rafaela is performing her PhD project in Biofabrication Group in the Institute for Innovation and Research in Health from University of Porto (i3s). The project is focused on the development of mechano-modulatory 3D in vitro model of human skin fibrosis. Currently, Rafaela is doing a period abroad at Chaudhuri Lab, Mechanical Engineering department at Stanford University, to study the impact of viscoelasticity in fibroblast fate and activation.
Moreover, she is enrolled in the International Doctoral Program in Cellular and Molecular Biotechnology Applied to Health Sciences (BiotechHealth) in ICBAS from University of Porto.
Her multidisciplinary background in bioengineering and biomaterials allowed her to develop strong skills in complementary research areas ranging from materials synthesis and biofabrication to cellular biology.
Rafaela has excellent communication skills and experience in presenting scientific data in national and international meetings. -
Melody Dailey
BioE 131 Grader, Bioengineering
Stanford Student Employee, Biology
UG WIM Writing Consultant, Writing in the MajorBioMelody is currently a candidate for a Bachelor of Science degree in Human Biology with a concentration in Neuroengineering and Computation. She intends to pursue graduate studies culminating in a Master’s and Ph.D. in Biomedical Engineering, alongside a Doctor of Medicine degree specializing in Neurology. Her academic and research interests lie at the intersection of biology, engineering, and clinical neuroscience, with a focus on advancing translational innovations to address neurological disorders.
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Onat Dalmaz
Ph.D. Student in Electrical Engineering, admitted Autumn 2023
Current Research and Scholarly InterestsMy current research centers on developing mathematical tools to enhance the explainability of image reconstruction algorithms in computational magnetic resonance imaging (MRI). By integrating principles from machine learning, signal processing, and generative models, I aim to improve the transparency and reliability of AI applications in medical imaging.
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Helen Dang
Science Program Manager, Bioengineering
Current Role at StanfordScience Program Manager, Stanford Department of Bioengineering
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Bruce Daniel
Professor of Radiology (Body Imaging) and, by courtesy, of Bioengineering
Current Research and Scholarly Interests1. MRI of Breast Cancer, particularly new techniques. Currently being explored are techniques including ultra high spatial resolution MRI and contrast-agent-free detection of breast tumors.
2. MRI-guided interventions, especially MRI-compatible remote manipulation and haptics
3. Medical Mixed Reality. Currently being explored are methods of fusing patients and their images to potentially improve breast conserving surgery, and other conditions.
