School of Engineering
Showing 201-300 of 304 Results
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Justin S. Rogers
Research Oceanographer, Civil and Environmental Engineering
Staff, Program-Fringer O.BioPh.D. Civil & Environmental Engineering, Stanford University, 2016
M.S. Civil & Environmental Engineering, University of Wisconsin-Madison, 2006
B.S. Civil Engineering (Minor in Chemistry), University of Arizona, 2004
Research interests:
-Coastal resilience, risk, sea level rise, extreme events, compound hazards
-Impact of climate change on human and natural systems in coastal and nearshore environments
-Core model development for coastal applications, storm surge, tropical cyclones, flood risk, bottom boundary layers, turbulence, and multiscale physics.
I leverage the power of cloud computing, HPC systems and modern code frameworks, and adapt multiple analysis methods including dynamical models, machine learning, statistical methods, and field observations. -
Heidi Roizen
Adjunct Lecturer, Management Science and Engineering
BioHeidi Roizen is a venture capitalist, corporate director and former technology CEO/entrepreneur. Today, Heidi is a partner at leading venture firm Threshold Ventures and serves as a board member for private companies Upside Foods and Polar in the Threshold portfolio. She is currently also an independent corporate director for Planet (NYSE:PL). Heidi is also an Adjunct Lecturer at Stanford University and leads Stanford’s Threshold Venture Fellows Program in the Management Science and Engineering department. Heidi also serves on the advisory councils of the Stanford Institute for Human-Centered Artificial Intelligence (HAI) and Stanford Technology Ventures (STVP). She started her career as co-founder of software company T/Maker and served as its CEO for over a dozen years until its acquisition by Deluxe Corporation. After a year as VP of Worldwide Developer Relations at Apple, Heidi then became a venture capitalist in 1999. She has undergraduate and MBA degrees from Stanford and is the proud mother of two kids and two rescue dogs.
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Italo Romani de Oliveira
Graduate, Stanford Center for Professional Development
BioÍtalo Romani de Oliveira, received his Ph.D. degree in Electrical Engineering from the Polytechnic School of the University of São Paulo, in 2007, with an internship period in the Dutch National Aerospace Laboratory (NLR), and a B.Sc. degree in Computer Science from the Mathematics and Statistics Institute of the same university, in 1999. He has dedicated his careers to applications in the fields of Railway Systems, Air Traffic Management, and Avionics, developing methodologies with formal computational methods, Multi-Agent Dynamic Risk Models, Advanced Monte Carlo techniques, and various types of optimization algorithms. He worked in the aerospace companies Atech/Embraer, Rolls-Royce, Honeywell, General Electric, and, since 2016, he has been working in Boeing Research & Technology. In Boeing, he develops new algorithms and systems for improving Airline and Airspace Operational Efficiency, including aspects of traffic safety with the presence of autonomous aircraft.
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Judith Romero
Chief Communications Officer, SCPD and Stanford Online, Stanford Engineering Center for Global and Online Education
Current Role at StanfordChief Communications Officer for the Stanford Engineering Center for Global & Online Education (CGOE) and Stanford Online. Responsible for web and social media sites, for public information and media relations, and for brand strategy and global marketing.
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Luca Rosalia
Postdoctoral Scholar, Bioengineering
BioLuca Rosalia received his bachelor’s and master’s degrees in Biomedical Engineering from the University of Glasgow (UK). During his studies, he visited the National University of Singapore and the University of Cambridge, where he gained his first exposure to the fields of soft robotics and tissue biomechanics. He pursued doctoral studies in the Health Sciences and Technology (HST) Ph.D. program of Harvard University and Massachusetts Institute of Technology in the lab of Ellen Roche and he's currently at Stanford University as a Postdoctoral Scholar in Bioengineering in the Skylar-Scott lab.
His doctoral work primarily focused on high-fidelity and patient-specific soft robotic preclinical models of valvular heart disease, congenital defects, and heart failure with preserved ejection fraction. Luca leveraged these platforms for the testing and development of medical devices through several partnerships with industry. During his studies, he also worked as an R&D engineer in the Structural Heart division of Abbott Laboratories on the development of transcatheter aortic valve replacements (TAVR). He also gained clinical experience at the Veterans Affairs Medical Center in Boston and at Boston Children's Hospital. In the Skylar-Scott lab, Luca will be working on whole-heart bioprinting. -
William Rose
Masters Student in Computer Science, admitted Autumn 2022
CS Fall student, Computer ScienceBioI'm an undergraduate in the Earth and Planetary Sciences and Computer Science departments. My work focuses on data-driven critical mineral exploration with Mineral-X.
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Noah Rosenberg
Stanford Professor of Population Genetics and Society
Current Research and Scholarly InterestsHuman evolutionary genetics, mathematical models in evolution and genetics, mathematical phylogenetics, statistical and computational genetics, theoretical population genetics
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Mendel Rosenblum
Cheriton Family Professor and Professor of Electrical Engineering
On Leave from 10/01/2024 To 06/30/2025Current Research and Scholarly InterestsNext generation data centers
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Bernard Roth
Professor of Mechanical Engineering, Emeritus
BioRoth is one of the founders of the Hasso Plattner Institute of Design at Stanford (the d.school) and is active in its development: currently, he serves as Academic Director. His design interests include organizing and presenting workshops on creativity, group interactions, and the problem solving process. Formerly he researched the kinematics, dynamics, control, and design of computer controlled mechanical devices. In kinematics, he studied the mathematical theory of rigid body motions and its application to the design of machines.
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Grant M. Rotskoff
Assistant Professor of Chemistry
BioGrant Rotskoff studies the nonequilibrium dynamics of living matter with a particular focus on self-organization from the molecular to the cellular scale. His work involves developing theoretical and computational tools that can probe and predict the properties of physical systems driven away from equilibrium. Recently, he has focused on characterizing and designing physically accurate machine learning techniques for biophysical modeling. Prior to his current position, Grant was a James S. McDonnell Fellow working at the Courant Institute of Mathematical Sciences at New York University. He completed his Ph.D. at the University of California, Berkeley in the Biophysics graduate group supported by an NSF Graduate Research Fellowship. His thesis, which was advised by Phillip Geissler and Gavin Crooks, developed theoretical tools for understanding nonequilibrium control of the small, fluctuating systems, such as those encountered in molecular biophysics. He also worked on coarsegrained models of the hydrophobic effect and self-assembly. Grant received an S.B. in Mathematics from the University of Chicago, where he became interested in biophysics as an undergraduate while working on free energy methods for large-scale molecular dynamics simulations.
Research Summary
My research focuses on theoretical and computational approaches to "mesoscale" biophysics. Many of the cellular phenomena that we consider the hallmarks of living systems occur at the scale of hundreds or thousands of proteins. Processes like the self-assembly of organelle-sized structures, the dynamics of cell division, and the transduction of signals from the environment to the machinery of the cell are not macroscopic phenomena—they are the result of a fluctuating, nonequilibrium dynamics. Experimentally probing mesoscale systems remains extremely difficult, though it is continuing to benefit from advances in cryo-electron microscopy and super-resolution imaging, among many other techniques. Predictive and explanatory models that resolve the essential physics at these intermediate scales have the power to both aid and enrich the understanding we are presently deriving from these experimental developments.
Major parts of my research include:
1. Dynamics of mesoscale biophysical assembly and response.— Biophysical processes involve chemical gradients and time-dependent external signals. These inherently nonequilibrium stimuli drive supermolecular organization within the cell. We develop models of active assembly processes and protein-membrane interactions as a foundation for the broad goal of characterizing the properties of nonequilibrium biomaterials.
2. Machine learning and dimensionality reduction for physical models.— Machine learning techniques are rapidly becoming a central statistical tool in all domains of scientific research. We apply machine learning techniques to sampling problems that arise in computational chemistry and develop approaches for systematically coarse-graining physical models. Recently, we have also been exploring reinforcement learning in the context of nonequilibrium control problems.
3. Methods for nonequilibrium simulation, optimization, and control.— We lack well-established theoretical frameworks for describing nonequilibrium states, even seemingly simple situations in which there are chemical or thermal gradients. Additionally, there are limited tools for predicting the response of nonequilibrium systems to external perturbations, even when the perturbations are small. Both of these problems pose key technical challenges for a theory of active biomaterials. We work on optimal control, nonequilibrium statistical mechanics, and simulation methodology, with a particular interest in developing techniques for importance sampling configurations from nonequilibrium ensembles. -
Sebastian Alexander Russo
Masters Student in Computer Science, admitted Autumn 2022
BioI'm studying computer science and other cool stuff!
