Stanford University
Showing 1-100 of 34,461 Results
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Navid Anjum Aadit
Postdoctoral Scholar, Electrical Engineering
Current Research and Scholarly InterestsNavid Anjum Aadit builds hardware for problems that resist conventional acceleration: high-dimensional sampling, combinatorial search, and large AI models under hard energy budgets. His work spans the full stack, from Monte Carlo algorithms through probabilistic architectures to three-dimensionally integrated devices. He led the design of the first programmable probabilistic computer at the million p-bit scale, and at Stanford develops monolithic 3D CMOS+X accelerators.
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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. -
Emilius Aalto
Basic Life Science Research Scientist, Hopkins Marine Station
Current Research and Scholarly InterestsMy primary research interest is theoretical fisheries ecology, with a focus on population dynamics, spatial dynamics, and response to disease and catastrophic events. My current work involves the incorporation of the effects of ocean acidification and low-oxygen events into an abalone growth and reproduction model. Past projects include modeling indirect positive effects from fishing-induced competitive release and the effects of size-specific obligate predation on post-harvest recovery time.
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Aaryan Harshith
Undergraduate, Bioengineering
BioFirst-year undergraduate student and aspiring Bioengineering major. Originally from Sudbury, Canada.
Among many things, I'm fascinated by structural virology, medical device development, and the cancerous extracellular matrix. Currently, I'm running a project to develop a novel, broad-spectrum Hepatitis E vaccine at Stanford.
Website: https://aaryanharshith.com -
Sumaira Z. Aasi, MD
Clinical Professor, Dermatology
Current Research and Scholarly InterestsHigh risk squamous cell carcinoma; frozen histopathology; reconstructive surgery.
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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). -
Fahim Abbasi
Clinical Assistant Professor, Medicine - Cardiovascular Medicine
BioDr. Fahim Abbasi specializes in diagnosis and treatment of prediabetes and insulin resistance. Dr. Abbasi has a special interest in prevention of diabetes and cardiovascular disease through lifestyle modifications.
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Mohammad Abbasi, PhD
Senior Data Scientist, 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. -
Ali Abdelhafiz
Fellow in Pediatrics - Cardiology
BioPediatric Cardiac Critical Care Fellow at Lucile Packard Children's Hospital, Stanford University.
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Eric Abdulaziz
Masters Student in Mechanical Engineering, admitted Autumn 2023
Bio→ HCP Graduate Mechanical Engineering part time student. Full time Mechanical Engineer at Intuitive Surgical.
→ Bachelors in Mechanical Engineering at the University of California, Irvine.
→ Grew an interest in the medical device field through self led research in developing a prosthetic for a user with a congenital limb deficiency of the hand.
→ Later grew passionate about Minimally Invasive Surgery through industry experience in Neuroendovascular Surgery.
→ Strongly believe that Minimally Invasive Surgical Robotics is an imperative step to catalyzing a paradigm shift in significantly improving patient outcomes and broadening scope of impact. -
Muhammad Abdulla
Ph.D. Student in Electrical Engineering, admitted Autumn 2022
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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Jonathan Abel
Affiliate, Music
BioJonathan S. Abel is a Consulting Professor at the Center for Computer Research in Music and Acoustics (CCRMA) in the Music Department at Stanford University, working in music and audio applications of signal and array processing, parameter estimation and acoustics. He is also a co-founder of Seismic Innovations, LLC, and Seismic Services, LLC, companies specializing in microseismic signal processing. Abel was a co-founder and Chief Technology Officer of the GRAMMY Award winning Universal Audio, Inc. He was previously a researcher at NASA/Ames Research Center, Chief Scientist of Crystal River Engineering, Inc., and a Lecturer in the Department of Electrical Engineering at Yale University. As an industry consultant, Abel has worked with Apple, Dolby, FDNY, LSI Logic, L3 Technologies, LR Baggs, Native Instruments, SAIC, Sennheiser, Sigma Cubed, Triple Ring, and the U.S. NRL on projects in professional audio, GPS, fire department siting and deployment, medical imaging, room acoustics measurement, audio effects processing, passive sonar, and microsiesmic signal processing. He holds Ph.D. and M.S. degrees from Stanford University, and an S.B. from MIT, all in electrical engineering. Abel is a Fellow of the Audio Engineering Society for contributions to audio effects processing.
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Tom Abel
Professor of Particle Physics and Astrophysics and of Physics
BioWhat were the first objects that formed in the Universe, what is it made of, how does it work? Prof. Abel's group explores all of cosmic history using ab initio supercomputer calculations. He has shown from first principles that the very first luminous objects are very massive stars and has developed novel numerical algorithms using adaptive-mesh-refinement simulations that capture over 14 orders of magnitude in length and time scales. He has shown how the first stars galaxies form and affect everything that follows later. He has been pioneering novel numerical algorithms to study collisionless fluids such as dark matter as well as astrophysical and terrestrial plasmas. He has designed bespoke summary statistics to have interpretable, robust, efficient, summary statistics to describe spatial clustering based on fast nearest neighbor searches. His recent work is on creating digital twins of astronomical objects and the Universe as a whole in the context of the Center for Decoding the Universe. This Center leverages advances in machine learning and artificial intelligence to make sense of our Universe. He was the director of the Kavli Institute for Particle Astrophysics and Cosmology and Division Director at SLAC 2013-2018.
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Gita Chu Abhiraman
Resident in Medicine
BioGita Abhiraman is a resident physician in Internal Medicine at Stanford in the Translational Investigator Program. She is interested in immune signaling and immune dysregulation in malignancy. She completed her MD and PhD at Stanford in the Medical Scientist Training Program. Her PhD in Immunology was advised by Dr. Chris Garcia, in which she studied cytokine signaling, immune receptor structure, and protein engineering. She was the recipient of a Hertz Fellowship during her graduate training. She previously solved the structure of the interleukin-21 signaling receptor complex. She also developed immune switch molecules called "cytokine adaptors" with applications in cancer and autoimmune disease. She has contributed to work on several other cytokines, including IL-21, IL-12, and IL-10, for diverse therapeutic applications. Prior to her graduate training, Gita completed a bachelor's degree in Physics with a focus in Biophysics at Harvard University. She previously conducted research in the lab of Dr. Stephanie Dougan at Dana-Farber Cancer Institute.
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Matthew Alexander Abikenari
MD Student with Scholarly Concentration in Molecular Basis of Medicine / Immunology, expected graduation Spring 2028
BioMatthew earned his undergraduate degree summa cum laude from UCLA, where he conducted full-time basic and clinical neuroscience research investigating the molecular mechanisms underlying neurodegenerative disease. He subsequently completed a graduate degree in Clinical Neuroscience at the University of Oxford as The Queen’s College Herbruck Scholar, an award granted to only one American student per year, where his research focused on paraneoplastic autoimmunity and spatial genomic regulation of malignant CNS neoplasms.
As a medical student at Stanford University, Matthew has trained under the mentorship of Dr. Michael Lim, developing expertise in translational neuro-oncology, in order to investigate the cellular and molecular mechanisms that drive immunosuppression in glioblastoma. His research has centered on glial immunology and the metabolic organization of the tumor microenvironment, with particular emphasis on intercellular organelle transfer and immunometabolic reprogramming of tumor-infiltrating immune cells.
His family’s experience with brain cancer continues to ground his work and deepen his commitment to understanding, and ultimately improving, neurosurgical oncology. -
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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Gillian Abir
Clinical Professor, Anesthesiology, Perioperative and Pain Medicine
BioGillian Abir graduated from Glasgow University (UK) in 1998. After initially undertaking parts of surgical residency and emergency medicine residency, she completed her anesthesiology residency training in Glasgow and Sheffield (UK). Following this she undertook an obstetric anesthesiology fellowship-equivalent at Stanford University School of Medicine and is currently a Clinical Professor.
Gillian is the Associate Division Chief and Clinical Director for the Division of Obstetric Anesthesiology and the residency program coordinator for obstetric anesthesiology.
Gillian has published several manuscripts and book chapters, and is the lead anesthesiologist in the multidisciplinary obstetric simulation team. She is a member of the obstetric disaster preparedness committee and labor and delivery patient safety committee, amongst several other committees. She is the co-chair of the simulation committee and a member of the patient safety and international outreach committees in the Society of Obstetric Anesthesia and Perinatology.
Gillian has an interest in global health and is a member of the Board of Directors of Kybele Inc. (www.kybeleworldwide.org) for which she regularly volunteers to teach obstetric anesthesiology in other countries. -
Guljannat Ablat
Postdoctoral Scholar, Chemistry
BioI completed my PhD in Chemical Biology at King’s College London (UK) under the supervision of Dr. Manuel Müller. My PhD research focused on manipulating D-amino acids in peptides and proteins. I joined the Khosla lab in June 2026, where I will be working on the mechanism elucidation of the assembly-line polyketide synthases.
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Christina Ablaza
Administrative Director, Creative Writing Program, English
Current Role at StanfordAdministrative Director, Creative Writing Program
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Siwaar Abouhala
MD Student with Scholarly Concentration in Biomedical Ethics & Medical Humanities / Surgery, expected graduation Winter 2030
Haas Graduate CELC, Haas Center for Public ServiceBioSiwaar Abouhala [pronounced: Sea-waar Ah-bu-ha-la] (she/her) is an incoming first-year medical student, a Knight-Hennessy Scholar, and a Leadership in Health Disparities (LHDP) researcher at Stanford Medicine. Siwaar is a health equity researcher and leader, with interests in community-engaged methods, maternal and child health, minoritized health disparities, and implementation science.
She graduated summa cum laude from Tufts University in May 2023 with triple majors in community health (highest thesis honors), biology, and Arabic language and cultural studies. There, she founded MARCH: Maternal Advocacy and Research for Community Health, the largest undergraduate student-run maternal health organization in the United States, as well as the Arab Maternal Health in Ohio Study, the first qualitative maternal health assessment among Arab American mothers.
After graduation, Siwaar conducted extensive biomedical and public health research to further health equity, including at the Broad Institute of MIT and Harvard [Founder of Project MENA PEDIGREE: Middle Eastern or North African Progressing Equity, Diversity, and Inclusion in Genetic Research, Education, and Empowerment], Tufts Medicine [Founder of Project INSPIRE: Improving New Somerville Parent and Infant Resiliency and Engagement], the Arab American Health Network Alliance (AAHNA), and the Rare Disease Diversity Coalition (RDDC).
Siwaar plans on training as a physician-advocate at Stanford, with research and health innovation serving as a necessary bridge between both roles.
Website/ Blog: https://www.siwaarabouhala.com/
LinkedIn: @Siwaar Abouhala -
Elias Aboujaoude, MD, MA
Clinical Professor, Psychiatry and Behavioral Sciences
BioDr. Aboujaoude is a Clinical Professor, researcher and writer at Stanford University's Department of Psychiatry, where he is Chief of the Anxiety Disorders Section and Director of the OCD Clinic and the Impulse Control Disorders Clinic. Besides the compulsivity-impulsivity spectrum, his work has focused on the intersection of technology and psychology, with an emphasis on the problematic use of Internet-related technologies, mental health in a post-privacy world, and the potential for telemedicine interventions such as virtual reality and video-based therapy to increase access to care and advance global health. His books include "Virtually You: The Dangerous Powers of the e-Personality" and "Mental Heath in the Digital Age: Grave Dangers, Great Promise". Dr. Aboujaoude also teaches psychology on the main Stanford campus and at UC Berkeley. Scholarly and media platforms that have featured his work include The New York Times, The Wall Street Journal, The Washington Post, Congressional Quarterly, The Harvard Business Review, The Chronicle of Higher Education, BBC, PBS, and CNN.
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Shahira Abousamra
Postdoctoral Scholar, Biomedical Data Sciences
BioShahira Abousamra is a Postdoctoral scholar in the department of Biomedical Data Science at Stanford University, working with Dr. Sylvia Plevritis at the Plevritis Lab. She earned her PhD in Computer Science from Stony Brook University in 2024 under the supervision of Dr. Chao Chen and Dr. Dimitris Samaras.
In her research, she integrates mathematical modeling with computer vision to create more robust solutions, particularly in the context of advancing cancer research and enhancing our understanding of the tumor microenvironment. She leverages computational topology and spatial statistics to provide spatial semantic grounding to complement machine learning models. She publishes in top computer vision, artificial intelligence, and medical image analysis conferences including CVPR, ECCV, ICCV, AAAI, and MICCAI. -
Vijoy Abraham
Associate University Librarian, RDS, University Librarian's Office
Current Role at StanfordAssistant University Librarian for Research Data Services, University Librarian's Office
