School of Engineering
Showing 4,251-4,300 of 5,901 Results
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Justin S. Rogers
Research Oceanographer, Contingent
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
Affiliate, Management Science and Engineering - Technology Ventures Program
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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Milenia Rojas Mendoza
Ph.D. Student in Chemical Engineering, admitted Autumn 2022
OTL Intern, Office of Technology Licensing (OTL)BioMilenia Rojas (she/her) is a PhD candidate in the Chemical Engineering Department at Stanford University. She is advised by Thomas Jaramillo. Milenia's research focuses on integrating cost-effective, earth-abundant metal catalysts into membrane electrode assembly water electrolyzers for hydrogen production. Her goal is to reduce production costs, extend lifespan, and enhance scalability to support the energy transition. She is part of the Emerson Consequential Scholars Program and works part time at the office of technology transfer. She graduated in 2022 with a Bachelor's in Chemical Engineering from the University of Rochester.
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Judith Romero
Chief Communications Officer, Stanford Online and CGOE,, 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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Samantha Noel Ronjak
Graduate, Stanford Center for Professional Development
BioSam is a Principal UX Designer at RTX, where she works on enterprise software for complex technical systems. She is pursuing a graduate certificate in Human-Computer Interaction at Stanford to deepen her technical foundation and expand her research practice. Her background spans human-centered design and renewable energy, and she currently serves on the board of the American Solar Energy Society.
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Charles Roques-Carmes
Postdoctoral Scholar, Electrical Engineering
BioCharles Roques-Carmes is a Science Fellow at Stanford and an incoming Assistant Professor at the Institute of Science and Technology Austria (ISTA). His lab studies and engineers subwavelength light–matter interactions to unlock quantum technologies, advanced microscopes, and next-generation communications and computing platforms—combining rigorous theory with ultrafast electron microscopy, X-ray imaging, and quantum sensing to turn insights into devices. Before joining ISTA, Charles was a Stanford Science Fellow at Stanford University and a Visiting Scientist at MIT, where he earned his PhD in Electrical Engineering and Computer Science in 2022. Charles has delivered 40+ invited talks at major venues including APS, CLEO, and SPIE.
In 2025, he received the inaugural Photonics Innovation Award in honor of Federico Capasso for pioneering achievements that broaden photonics’ frontiers and connect fundamentals to real-world impact; Charles is widely regarded as one of the founders of the emerging field of nanophotonic scintillation. His honors include numerous distinctions such as Forbes 30 Under 30 (Science, 2023), the Stanford Science Fellowship, the MathWorks Engineering Fellowship, the Robert B. Guenassia Award, and a Carnot Foundation Fellowship. He holds M.S. degrees from MIT (2018) and École Polytechnique (2016), and a B.S. from École Polytechnique (2015). -
Lorenzo Rosa
Visiting Scholar, Program-Bao Z.
Affiliate, Program-Cargnello, M.BioDr. Lorenzo Rosa is a Principal Investigator at the Carnegie Institution for Science and an Assistant Professor (by courtesy) at Stanford University. He is an environmental engineer whose research focuses on the resilience and sustainability of water, energy, and food systems under climate change and resource constraints.
His work combines systems modeling, hydrological simulation, techno-economic analysis, life-cycle assessment, optimization, and geospatial data science to evaluate emerging technologies and identify pathways toward sustainable development. His research spans water scarcity, climate-resilient agriculture, low-carbon fertilizers and fuels, and the environmental and economic feasibility of emerging climate solutions.
Dr. Rosa earned his PhD from the University of California, Berkeley, and completed postdoctoral training at ETH Zurich. He collaborates with academic, industry, and policy partners to translate scientific discoveries into actionable solutions. He also serves as an advisor to Ammobia, a climate technology company developing green ammonia production systems to support industrial decarbonization.
His contributions have been recognized through the American Geophysical Union Science for Solutions Award, the Leonardo Award in Engineering, Forbes 30 Under 30, and designation as a Clarivate Highly Cited Researcher.
Recent publications: https://scholar.google.com/citations?user=riiy1mEAAAAJ
Research group website: https://lorenzo-rosa.wixsite.com/curriculum -
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. -
Sherri Rose
Professor of Health Policy and, by courtesy, of Computer Science
BioSherri Rose, Ph.D. is a Professor of Health Policy and, by courtesy, of Computer Science at Stanford University, where she is Director of the Health Policy Data Science Lab. Her research is centered on developing and integrating innovative statistical machine learning approaches to improve human health. Within health policy, Dr. Rose works on algorithms in health care, risk adjustment, chronic kidney disease, and health program evaluation. She has published interdisciplinary projects across varied outlets, including Biometrics, Journal of the American Statistical Association, Journal of Health Economics, Health Affairs, and New England Journal of Medicine. In 2011, Dr. Rose coauthored the first book on machine learning for causal inference, with a sequel text released in 2018.
Dr. Rose has been honored with an NIH Director’s Pioneer Award, NIH Director's New Innovator Award, the ISPOR Bernie J. O'Brien New Investigator Award, and multiple mid-career awards, including the Gertrude M. Cox Award. She is a Fellow of the American Statistical Association (ASA) and received the Mortimer Spiegelman Award, which recognizes the statistician under age 40 who has made the most significant contributions to public health statistics. In 2024, she received both the ASHEcon Willard G. Manning Memorial Award for Best Research in Health Econometrics and the ASA Outstanding Statistical Application Award. She was recently awarded the Open Science Champion Prize by Stanford University. Her research has been featured in The New York Times, USA Today, and The Boston Globe. She was Co-Editor-in-Chief of the journal Biostatistics from 2019-2023. -
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
Current Research and Scholarly InterestsNext generation data centers
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Côme Rossary
Graduate Visiting Researcher Student, Bioengineering-GRVR
BioWorking on Computer Vision algorithms to analyze the cellular biophysical mechanisms of NETosis and deepen our understanding of neutrophils, which play a central role in cancer research.
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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.
