Stanford University
Showing 7,851-7,900 of 37,018 Results
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Steven Doerstling
Clinical Assistant Professor, Medicine
BioSteven Doerstling is a hospitalist at Stanford. He earned his medical degree from Duke University School of Medicine and completed internal medicine residency at Stanford. His interests include medical education, infectious diseases, and mountain biking.
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Leana Doherty, MD
Clinical Associate Professor, Adult Neurology
BioDr. Doherty is a board-certified, fellowship-trained neurologist with Stanford Health Care. She is also a clinical associate professor in the Department of Neurology & Neurological Sciences at Stanford University School of Medicine.
Dr. Doherty specializes in Guillain-Barre syndrome, myasthenia gravis, chronic inflammatory demyelinating polyneuropathy, and other neuroinflammatory, neuromuscular, and general neurologic conditions.
Her research interests include the diagnosis and management of neuromuscular disorders, and quality improvement for inpatient neurologic treatment and management. She has won numerous awards for her research, clinical, and teaching expertise in neurology.
Dr. Doherty has published in several peer-reviewed journals including Neurology, Neuromuscular Disorders, and Neurology: Neuroimmunology & Neuroinflammation. She has delivered presentations around the country and lectured before an international audience of neurology residents. Dr. Doherty serves as co-associate editor of Annals of Clinical and Translational Neurology (interACTN) and associate editor of New England Journal of Medicine (NEJM) Journal Watch Neurology. She is on the editorial board of The Neurohospitalist.
Dr. Doherty is a member of the American Academy of Neurology, American Neurological Association, Neurohospitalist Society, and Peripheral Nerve Society. -
Milana V. Dolezal, MD, MSci
Clinical Associate Professor, Medicine - Oncology
BioDr. Dolezal is a board-certified hematologist-oncologist with Stanford Medicine Cancer Center in Emeryville and a clinical associate professor in the Stanford School of Medicine, Division of Oncology.
She strives to work with patients to develop care plans that are comprehensive and personalized achieve the best possible outcomes and quality of life.
Dr. Dolezal also has extensive experience in research and drug development. She previously held positions as a clinical scientist, assistant medical director, and associate medical director in the BioOncology Therapeutics unit of the biotechnology company Genentech.
She has conducted clinical research into fertility preservation in patients with breast cancer, advanced treatments for triple-negative breast cancer, and patients’ adherence to anti-cancer therapy. She has co-authored articles on her research findings that appeared in the Journal of Clinical Oncology, Cancer, and other peer-reviewed publications.
She also co-authored the chapter “Progression from Hormone-Dependent to Hormone-Independent Breast Cancer” in the textbook Hormones, Genes and Cancer published by Oxford University Press.
Dr. Dolezal has made presentations to her peers at meetings of the American Association for Cancer Research, American Society of Clinical Oncology, and European Cancer Organisation. -
Varun Dolia
Ph.D. Student in Materials Science and Engineering, admitted Autumn 2021
BioVarun Dolia is a Benchmark Fellow and a Ph.D. candidate in Prof. Jen Dionne's lab. He is excited about developing nanophotonic platforms for health and environmental monitoring.
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Devin Dollery
Ph.D. Student in Oceans, admitted Autumn 2023
Masters Student in Oceans, admitted Autumn 2024BioI am interested in computational simulations of the natural world - focusing on developing models of ocean physics to predict the ocean's role in climate variability. At Stanford, my PhD research commencing in Autumn 2023 with Prof Fringer seeks to model and understand the interaction of surface and internal waves. This relationship will be correlated to satellite imagery of ocean surface roughness to infer stratification for assimilation into ocean models.
My professional background started in civil engineering and coastal processes modeling. I received an MSc in computational mechanics at the University of Cape Town (2018) - formulating and implementing a multiscale FEM model for cardiac tissue. Most recently, I was a scientific software developer adding parallelized tools and functionality to the ocean modeling software, UCLA ROMS, at the University of California, Los Angeles. -
Ben Domingue
Associate Professor of Education and, by courtesy, of Sociology
Current Research and Scholarly InterestsI'm interested in models for psychological measurement and their uses alongside applied statistical projects of all kinds.
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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.
