Stanford University
Showing 501-600 of 742 Results
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Sheila Dolezal
Dir Fin and Adm (SoM) 2, Obstetrics & Gynecology
Current Role at StanfordDirector of Finance & Administration, Department of Obstatrics & Gynecology
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Quinn Dombrowski
Academic Technology Specialist in Literatures, Cultures, and Languages, Center for Interdisciplinary Digital Research
BioQuinn Dombrowski (non-binary, any pronouns are fine) is the Academic Technology Specialist in the Division of Literatures, Cultures, and Languages, and in the Library, at Stanford University. Prior to coming to Stanford in 2018, Quinn’s many DH adventures included supporting the high-performance computing cluster at UC Berkeley, running the DiRT tool directory with support from the Mellon Foundation, writing books on Drupal for Humanists and University of Chicago library graffiti, and working on the program staff of Project Bamboo, a failed digital humanities cyberinfrastructure initiative.
Quinn has a BA/MA in Slavic Linguistics from the University of Chicago, and an MLIS from the University of Illinois at Urbana-Champaign. Since coming to Stanford, Quinn has supported numerous non-English DH projects, taught courses on non-English DH, started a Textile Makerspace, developed a tabletop roleplaying game to teach DH project management, explored trends in multilingual Harry Potter fanfic, and started the Data-Sitters Club, a feminist DH pedagogy and research group focused on Ann M. Martin’s 90’s girls series “The Baby-Sitters Club”. Quinn is currently co-VP of the Association for Computers and the Humanities along with Roopika Risam, and advocates for better support for DH in languages other than English. -
Stefan P. Domino
Adjunct Professor, Institute for Computational and Mathematical Engineering (ICME)
BioDr. Domino’s research interest rests within low-Mach fluid mechanics methods development for complex 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. Stefan also supports the teaching of ME469, Computational Methods in Fluid Mechanics, while continuing his primary career at Sandia National Laboratories as a Distinguished Member of the Technical Staff.
Education:
University of Utah
Ph.D. Department of Chemical Engineering, 1999
"Methods towards improved simulations for the oxides of nitrogen in pulverized-coal furnaces"
Professor Philip J. Smith, Advisor
Select Recent Publications:
* Domino, S. P., "On the subject of large-scale pool fires and turbulent boundary layer interactions", Phys. Fluids, 2024. (Featured)
* 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. (Editor's pick)
* 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/spdomin/Present/blob/master/cv/dominoCV.pdf -
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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Yiwen Dong
Research Asst - Graduate, Program-Noh, H.
BioYiwen Dong is a Ph.D. student in the Department of Civil and Environmental Engineering at Stanford University, advised by Prof. Hae Young Noh. Her research interest is human behavior characterization and health monitoring through their interactions with the physical structures. Her current work focuses on human and animal health monitoring through footstep/activity-induced structural vibrations.
While structures are traditionally considered as passive and indifferent, her works allow the structures to be both self-aware and user-aware. Yiwen developed systems that utilize ambient structural vibrations to infer human behaviors and health status, which enables many smart building applications such as in-home patient monitoring and elder care, intruder prevention and occupant management, animal health monitoring, and welfare. She strives for the next-generation intelligent infrastructures by exploring the potential of structural monitoring for human-centered purposes.
Yiwen has an interdisciplinary background in structural engineering, electrical engineering, and machine learning. Yiwen received her Master’s degree in Structural Engineering at Stanford University and her Bachelor’s degree in civil engineering at Nanyang Technological University. She won various awards (Best Paper Award, runner-ups in competitions) in ubiquitous computing and cyber-physical system conferences. She is passionate about combining the physical knowledge from structural dynamics, sensing approaches from cyber-physical systems, and data-driven models from machine learning to infer people’s behavior patterns and health status. -
Alona Dontsova
Organizational Insight Anlys, SLAC National Accelerator Laboratory
BioAlona Dontsova is an HR Data Lead at SLAC who empowers leaders to make informed business decisions using personnel data. She provides actionable insight about the workforce to help leaders understand their employees and organizational needs, both present and future. Alona believes that data can play a crucial role in building collaborative, diverse, and visionary teams. She leverages technology to equip HR professionals with the tools and skills to use data in their decision-making and cultivate a data-driven culture in HR. Alona's unwavering belief in the power of people data to drive positive change in organizations is a driving force in her role.
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Niles Dorn
Center Services Support Specialist, David Rumsey Map Center
BioNiles Dorn received his BA in Physics & Astronomy from Pomona College. At the Map Center, he assists in overseeing operations and technology in service of making the collections 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.
