Stanford University
Showing 1-50 of 11,953 Results
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Oliver O. Aalami, MD
Adjunct Professor, Bioengineering
BioDr. Oliver Aalami is a vascular surgeon and the Director of Digital Health at the Stanford Byers Center for Biodesign. His primary mission is to advance healthcare access through digital health education, research, and translation. At Stanford, he serves as the course director for Biodesign for Digital Health and Building for Digital Health and is a co-founder of Spezi (formerly CardinalKit), an open-source framework developed to support sensor-based mobile research.
His recent work focuses on the intersection of AI and patient care, including the development of an FDA-cleared open-source computer vision model for opportunistic abdominal aortic diameter quantification on routine CT scans. Additionally, he is developing LLMonFHIR, a system that allows consumers to "chat" with their medical records (FHIR resources) on mobile devices, as well as AI-assisted coaching tools to guide patients through therapy. -
Maricela Abarca
Data Curator for Interdisciplinary Sustainability, Data Management Services
BioI provide resources and consultation in data management and analysis. I offer workshops for Python as a Carpentries instructor and for data management planning. I help student, faculty, and staff researchers with data management and sharing plans as well as receiving attribution for their research products, including data and software. I advise on repository selection (including Stanford Digital Repository deposits) and other data management practices. I also offer introductory consultations on data science and artificial intelligence methods.
My background includes natural history collection stewardship, both of physical objects and their associated data, and biodiversity informatics. I have also worked on research intelligence (aggregating publication and research output). -
Mohammad Abbasi, PhD
RSE / Data Scientist and Data Manager at Transitional AI lab, Psych/Public Mental Health & Population Sciences
BioI am a Research Software Engineer (RSE) | Data Scientist & Data Manager at the Stanford Translational AI (STAI) Lab. I lead data engineering and AI infrastructure across large-scale neuroscience and healthcare projects, building standards-first, end-to-end pipelines for data collection, curation, preprocessing, and multimodal integration. My work emphasizes reproducibility, scalability, and interoperability through BIDS-style schemas, schema validation, containerized deployments, and CI/CD across heterogeneous computing environments.
I have designed and maintained containerized preprocessing workflows for thousands of subjects across major datasets, automating modality-specific steps such as registration, intensity normalization, bias-field correction, motion/confound estimation, quality control, and downstream metadata exports. I ensure these pipelines are robust, well-documented, versioned, and reusable across projects, sites, and modalities. -
Muhammad Abdulla
Ph.D. Student in Electrical Engineering, admitted Autumn 2022
REU Graduate Coordinator, Electrical Engineering
Student Assistant, Electrical EngineeringCurrent Research and Scholarly InterestsMy research is focused on how motor control is encoded at a neuronal level. On the theoretical side, I develop mathematical methods for analyzing neural data and modeling the relationships between neurons and motor function. On the applied side, I build computational frameworks for processing large datasets and interfacing with hardware. My goals are to gain insights on how networks of neurons work in harmony to generate movement and to improve the design of brain-machine interfaces.
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Frank Abild-Pedersen
Senior Scientist, Energy Sciences
BioDr. Abild-Pedersen is the co-director of SUNCAT Center for Interface Science and Catalysis. He is leading a research team that focuses on developing an understanding of the factors determining the catalytic properties at the interface between gas/solvent and solid surfaces and to apply these insights to processes and catalysts of importance for energy transformations and for sustainable chemical production. His research takes advantage of computer facilities at SLAC and Stanford to gain the necessary understanding and to link these simulations to experiments where new catalyst synthesis methods are developed, and the catalyst materials are characterized both in terms of performance (activity, selectivity, durability, etc.) and in terms of geometrical and electronic structure. The underlying philosophy of his research is that by having a fundamental understanding of the way surfaces catalyze a chemical reaction we can make a quantum leap in our ability to make predictions for new catalysts and processes. This requires the development of a theory of heterogeneous catalysis, including electrocatalysis, based on computational and experimental results.
Dr Abild-Pedersen has extensive experience with simulations and modeling of chemical reactions. His work began with the derivation of energy correlations in catalysis that have helped speed up screening for active, selective and stable catalysts for energy conversion as a graduate student working with Professor Jens K. Nørskov at the Technical University of Denmark. He moved to SLAC in 2010 as a staff scientist and helped build up SUNCAT and define research directions in the field of heterogeneous catalysis. -
Oscar J. Abilez
Senior Scientist, Cardiothoracic Surgery - Pediatric Cardiac Surgery
Current Research and Scholarly InterestsDr. Abilez' interests are aimed at elucidating how various biophysical and biochemical perturbations regulate early cardiovascular development across time and length scales that span several orders of magnitude, using human pluripotent stem cells as a model system.
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Christina Ablaza
Administrative Director, Creative Writing Program, English
Current Role at StanfordAdministrative Director, Creative Writing Program
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Vijoy Abraham
Assistant University Librarian for Research Data Services, University Librarian's Office
Current Role at StanfordAssistant University Librarian for Research Data Services, University Librarian's Office
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Aysha Abraibesh
Clinical Rsch Coord Assoc, Psychiatry and Behavioral Sciences - Sleep Medicine
BioAysha Abraibesh, MPA is a clinical research coordinator in the Department of Psychiatry & Behavioral Sciences at the Stanford University School of Medicine. She works primarily on the Stanford Apnea and Insomnia Study (AIR) Study, led by Dr. Rachel Manber (more info can be found at airstudy.stanford.edu)
Aysha earned her Bachelor’s degree in Psychology (2012) and Master’s in Public Administration (2013) both from Clark University in Worcester, Massachusetts. She has since held multiple positions supporting research studies related to social and behavioral health issues, most recently as a Lead Behavioral Health Interviewer at Kaiser Permanente’s Center for Health Research in Portland, Oregon.
