Stanford University
Showing 3,201-3,250 of 14,472 Results
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Stefan P. Domino
Adjunct Professor, Institute for Computational and Mathematical Engineering (ICME)
BioDr. Stefan Domino’s research interest rests within low-Mach fluid mechanics methods development for marine ethology-based systems that drive the coupling of mass, momentum, species and energy transport. His core research resides within the intersection of physics elucidation, numerical methods research, V&V techniques exploration, and high performance computing and coding methods for turbulent flow applications. Through his ICME Adjunct Professor appointment, Stefan supports the teaching of Computational Methods in Fluid Mechanics, is a former Distinguished Member of the Technical Staff at Sandia National Laboratories, and is the CEO of the 501(c)(3) Computational Marine Ethology Research Institute, https://www.comeri.org
Education: University of Utah
Ph.D. Department of Chemical Engineering, 2000
"Methods towards improved simulations for the oxides of nitrogen in pulverized-coal furnaces"
Professor Philip J. Smith, Advisor
Select Recent Publications:
* Domino, S. P., Scott, S., Hubbard, J., "Structural uncertainty assessment for fire-engulfed objects in crosswind: Establishing credibility for a multiphysics wall-modeled large-eddy simulation paradigm", Phys. Rev. Fluids, 2025.
* Domino, S. P., "On the subject of large-scale pool fires and turbulent boundary layer interactions", Phys. Fluids, 2024.
* Domino, S. P., Wenzel, E. A, "A direct numerical simulation study for confined non-isothermal jet impingement at moderate nozzle-to-plate distances: capturing jet-to-ambient density effects", Int. J. Heat Mass Trans, 2023.
* Benjamin, M., Domino, S. P., Iaccarino, G., "Neural networks for large eddy simulations of wall-bounded turbulence: numerical experiments and challenges", Eur. Phys. J. E., 2023.
* Hubbard, J., Cheng, M., Domino, S. P., "Mixing in low-Reynolds number reacting impinging jets in crossflow", J. Fluids Engr., 2023.
* Domino, S. P. “Unstructured finite volume approaches for turbulence,” in Numerical Methods in Turbulence Simulation, edited by R. Moser (Elsevier, 2023), Ch. 7, pp. 285–317.
* Scott, S., Domino, S. P., "A computational examination of large-scale pool fires: variations in crosswind velocity and pool shape", Flow, 2022.
* Domino, S. P., Horne, W., "Development and deployment of a credible unstructured, six-DOF, implicit low-Mach overset simulation tool for wave energy applications", Renew. Energy, 2022.
* Hubbard, J., Hansen, M., Kirsch, J., Hewson, J., Domino, S. P., “Medium scale methanol pool fire model validation”, J. Heat Transfer, 2022.
* Barone, M., Ray, J., Domino, S. P., "Feature selection, clustering, and prototype placement for turbulence datasets", AIAA J., 2021,
* Domino, S. P., Hewson, J., Knaus, R., Hansen, M., "Predicting large-scale pool fire dynamics using an unsteady flamelet- and large-eddy simulation-based model suite", Phys. Fluids, 2021.
* Domino, S. P., "A case study on pathogen transport, deposition, evaporation and transmission: linking high-fidelity computational fluid dynamics simulations to probability of infection", Int. J. CFD, 2021.
* Domino, S. P., Pierce, F., Hubbard, J., "A multi-physics computational investigation of droplet pathogen transport emanating from synthetic coughs and breathing", Atom. Sprays, 2021.
* Jofre, L., Domino, S. P., Iaacarino, G., "Eigensensitivity analysis of subgrid-scale stresses in large-eddy simulation of a turbulent axisymmetric jet", Int. J. Heat Fluid Flow, 2019.
* Domino, S. P., Sakievich, P., Barone, M., "An assessment of atypical mesh topologies for low-Mach large-eddy simulation", Comp. Fluids, 2019.
* Domino, S. P., "Design-order, non-conformal low-Mach fluid algorithms using a hybrid CVFEM/DG approach ", J. Comput. Physics, 2018.
* Jofre, L., Domino, S. P., Iaacarino, G., "A Framework for Characterizing Structural Uncertainty in Large-Eddy Simulation Closures", Flow Turb. Combust., 2018.
CV: https://github.com/spdomino/cv/blob/main/dominoCV.pdf -
Pablo Domizi, Ph.D.
Senior Research Scientist-Basic Life, Pediatrics - Hematology/Oncology
BioI am passionate about translational research and how single cell technologies could open up new avenues for better and more accurate predictive models. Currently, I am focus on integrating single cell RNA and protein expression data to develop models to predict patient at risk for Antigen Loss relapse after CAR T cells immunotherapy.
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Gwendolyn Zoob Donahue
Research Assistant, Oceans
Current Role at StanfordResearch Assistant in the Palumbi Lab at Hopkins Marine Station
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Julia Donahue
Senior Project Manager, Med/Stanford Center for Clinical Research
BioJulia Donahue is a Clinical Research Manager with the Stanford Center for Clinical Research (SCCR) at Stanford University. Julia has been working with SCCR since 2021. Her professional interests include Project Management, Digital Health, Study-Startup, Hospital-Based Research, and Decentralized Clinical Trials. She has extensive clinical trial experience in multiple fields, including but not limited to cardiology, dermatology, endocrinology, infectious diseases, psychiatry, and rheumatology.
Julia graduated with honors from McGill University in 2016, where her primary research interests were in neurodevelopmental disorders and autobiographical memory. -
Krista Donaldson
Casual - Non-Exempt, School of Medicine - MDRP'S - Biodesign Program
Current Role at StanfordDirector of Innovation to Impact, Byers Center for Biodesign
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Niles Dorn
Cartographic Collections & Technology Specialist, David Rumsey Map Center
BioNiles Dorn received his BA in Physics & Astronomy from Pomona College. At the Map Center, he assists in overseeing collection structure and technology in service of making Center materials more accessible to students, researchers, and the public.
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Jonathan Dotan
Program Coordinator, Electrical Engineering
Staff, Program-Weissman T.BioJonathan Dotan is the founding director of The Starling Lab at Stanford University and USC, where he leads applied research on the decentralized web and human rights. For over 20 years, he’s navigated the intersections of media, tech, and policy as a tech founder.
Jonathan is a fellow at Stanford’s Center for Blockchain Research and Compression Forum, where he is researching strategy and policy for distributed ledger technologies. His scholarship examines Internet governance frameworks, the transition to Web 3.0 and the prospects for a more decentralized internet.
He lectures at Stanford’s School of Engineering and Graduate School of Business. Jonathan’s teaching asks students to consider the never-simple relationship between innovation and progress — recognizing how each new technology brings choices and responsibilities. -
James Douglass
Software Architect, Woods Research Natural Capital Project
BioJames Douglass (he/him) is the Software Architect for the Natural Capital Project. His current work focuses on expanding access to InVEST through better tooling in heterogeneous compute and development environments, supporting research efforts and identifying and prototyping impactful improvements to NatCap's Science and Technology offerings. In previous roles with NatCap, James has led the technical strategy of InVEST, led the development of OPAL, and previously served as lead of the Software Team. James received his B.S in Computer Science from St. Lawrence University.
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Kai Dowding
Undergraduate Student Services Officer, History Department
BioAs the undergraduate student services officer for the Department of History, I oversee student degree progress in the major and minor and work closely with the director of undergraduate studies, director of honors and research, and our intrepid peer advisors to plan and carry out undergraduate programming. I also schedule the department’s curriculum in collaboration with the vice chair. I enjoy getting to know each student as they journey through the major or minor, and am always happy to chat with students about their interests and plans, both within Stanford and beyond.
