Stanford University
Showing 101-200 of 1,705 Results
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Marisa Galvez
Professor of French and Italian and, by courtesy, of German Studies and of Comparative Literature
BioMarisa Galvez specializes in the literature of the Middle Ages in France and Western Europe, especially the poetry and narrative literature written in Occitan and Old French. Her areas of interest include the troubadours, vernacular poetics, the intersection of performance and literary cultures, and the critical history of medieval studies as a discipline. At Stanford, she currently teaches courses on medieval and Renaissance French literature and love lyric, as well as interdisciplinary upper level courses on the medieval imaginary in modern literature, film, and art.
Her first book, Songbook: How Lyrics Became Poetry in Medieval Europe (University of Chicago Press, 2012, awarded John Nicholas Brown Prize from the Medieval Academy of America), treats what poetry was before the emergence of the modern category, “poetry”: that is, how vernacular songbooks of the thirteenth to fifteenth centuries shaped our modern understanding of poetry by establishing expectations of what is a poem, what is a poet, and what is lyric poetry itself. The first comparative study of songbooks, the book concerns three vernacular traditions—Occitan, Middle High German, and Castilian—and analyzes how the songbook emerged from its original performance context of oral publication, into a medium for preservation, and finally became a literary object that performs the interests of poets and readers.
Her second book, The Subject of Crusade:Lyric, Romance, and Materials, 1150-1500 (University of Chicago Press, 2020) examines how the crusader subject of vernacular literature sought to reconcile secular ideals about love and chivalry with crusade. This study places this literature in dialogue with new ideas about penance and confession that emerged from the second half of the twelfth century to the end of the thirteenth. Subject argues that poetic articulations are crucial for understanding the crusades as a complex cultural and historical phenomenon, and examines another version of speaking crusades, in which lyric, romance and materials such as tapestries, textiles, and tombstones manifest ambivalence about crusade ideals. -
Trevor Michael Gamba
Summer CSP Instructor
BioTrevor Gamba has over twenty-five years of product development experience in leadership positions within supply chain, manufacturing, engineering development, and quality assurance. He has managed teams in startups and major corporations such as Span.io, Loon (Google X), Cisco, and IBM. He received an MS in systems engineering from San Jose State and an MBA from Cornell, and is a Stanford Certified Project Manager.
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Sanjiv Sam Gambhir, MD, PhD
Member, Bio-X
Current Research and Scholarly InterestsMy laboratory focuses on merging advances in molecular biology with those in biomedical imaging to advance the field of molecular imaging. Imaging for the purpose of better understanding cancer biology and applications in gene and cell therapy, as well as immunotherapy are all being studied. A key long-term focus is the earlier detection of cancer by combining in vitro diagnostics and molecular imaging.
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James Gamble
Professor of Orthopaedic Surgery
Current Research and Scholarly InterestsClinical research involving pediatric orthopedics; gait, and motion analysis; cost effectiveness analysis; growth mechanisms
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Daniela Gamboa Zapatel
Ph.D. Student in Education, admitted Autumn 2021
BioDaniela Gamboa Zapatel is a PhD candidate in Education Policy at Stanford University. Her research examines how inclusive education policies shape student outcomes, with a particular focus on historically marginalized groups in Peru. She aims to develop context-sensitive tools for measuring inclusion and translate research into equity-driven policy.
Her experience spans over a decade across classrooms, government, and civil society in advancing inclusive education. She has led national initiatives at the Ministry of Education of Peru and the Peruvian Down Syndrome Society, and has collaborated with regional and global networks including the Regional Network for Inclusive Education (Latin America), Down Syndrome International, and Inclusion International. Prior to her doctoral studies, she served as a consultant on equity and inclusion at the Global Partnership for Education.
Daniela holds a B.A. in Early Childhood Education with honors from the University of Piura (Peru) and an M.A. in International Education Policy Analysis from Stanford University. She is also the proud mother of two wonderful boys. -
Yiming Gan
Postdoctoral Scholar, Neurology and Neurological Sciences
BioDr. Yiming Gan is a postdoctoral scholar in the Department of Neurology. He earned his B.S. degree in Modern Mechanics from the University of Science and Technology of China (USTC) in 2019 and his Ph.D. in Mechanical Engineering from the University of Rochester in 2024, where his research focused on the experimental measurement and computational modeling of cerebrospinal fluid flow and the glymphatic system. After graduation, he joined Stanford University as a postdoctoral scholar in the Pediatric Neurostimulation Laboratory (Baumer Lab) and the Wu Tsai Neuroscience Institute. His research interests span biomarkers for epilepsy (functional connectivity), cerebral drug delivery, and Laser Interstitial Thermal Therapy.
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Abi Gandhi
Aerospace Prototyping Lab Manager, Aeronautics and Astronautics
Current Role at StanfordAerospace Prototyping Lab Manager, Aeronautics and Astronautics
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Swapnil Gandhi
Ph.D. Student in Computer Science, admitted Autumn 2022
BioMy broad research interests include distributed systems and cloud computing – in particular, I am interested in the system-side problems associated with learning, deploying, and operationalizing machine learning models at scale.
Previously, I was a Research Fellow at Microsoft Research India and prior to that obtained my Masters (by Research) in Computer and Data Systems from the Indian Institute of Science (IISc). -
Calyani Ganesan
Clinical Assistant Professor, Medicine - Nephrology
BioCalyani Ganesan, MD, MS is a general nephrologist with a focused interest in improving the care of patients with kidney stone disease through comprehensive metabolic evaluation, clinical research and multidisciplinary collaboration.
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Prasanth Ganesan
Basic Life Research Scientist, Medicine - Med/Cardiovascular Medicine
BioPrasanth "Prash" Ganesan is a Research Scientist at Stanford Cardiovascular Medicine. His research is focused on developing novel signal processing and machine learning algorithms for personalizing ablation therapy for patients with heart rhythm disorder, especially atrial fibrillation. He was previously a research fellow at the US National Institutes of Health working on conditions such as cervical cancer and Pneumonia using Deep Learning methods. He was recognized in the prestigious Forbes 30 Under 30 Asia 2022 list in Healthcare and Science category. He is a co-inventor of patents on novel mapping approaches for atrial fibrillation. He aspires to become a renowned bioengineering scientist developing innovative methods to improve healthcare globally. In his free time he enjoys hiking, playing badminton, and exploring restaurants and food places.
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Christina Gangemi
Postdoctoral Scholar, Developmental Biology
BioDr Christina Gangemi received her undergraduate degree from Monash University (2016) specialising in molecular biology and biochemistry. She became an Undergraduate Research Opportunities Program Scholar (2016) and completed her Honours thesis (2017) at the Australian Regenerative Medicine Institute (ARMI), Monash University. She later joined Professor Harald Janovjak’s group at ARMI (2018) as a research assistant before completing her doctorate degree (2019-2023) where she studied optical approaches to promote pancreatic beta cell regeneration. Key achievements from this work include establishing an automated image analysis approach to quantify islet proliferation assays, designing a modular light-emitting diode shelving system for ex vivo and in vitro illumination of primary islets, generating a new assay to test cyclin-dependent kinase 6 (CDK6) function (a known beta cell proliferation driver), and exploring the effects of photoswitchable pdDronpa domains when engineered into CDK6. During her candidature, she was awarded a Juvenile Diabetes Research Foundation Australia PhD Top-Up Scholarship. In 2023 she undertook a Postdoctoral Research Associate role in the Janovjak group at Flinders University and has recently joined Professor Seung Kim's group at Stanford University.
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Surya Ganguli
Associate Professor of Applied Physics, Senior Fellow at the Stanford Institute for Human-Centered AI and Associate Professor, by courtesy, of Neurobiology and of Electrical Engineering
Current Research and Scholarly InterestsTheoretical / computational neuroscience
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Abantika Ganguly
Basic Life Research Scientist, Rad/Pediatric Radiology
Current Role at StanfordResearch Scientist
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Dina Ganji
Affiliate, Psychiatry and Behavioral Sciences
Visiting Scholar, Psychiatry and Behavioral SciencesBioDina Ganji, MD is a board-certified psychiatrist and Visiting Scholar at Stanford University, working at the intersection of clinical psychiatry, neuropsychiatry, and translational neuroscience. Her research focuses on integrating neuroimaging, neuromodulation techniques, and clinical phenotyping to advance precision psychiatry, with a particular emphasis on autism spectrum disorder, neurodevelopmental disorders, and cognitive neuroscience in children, as well as mood and substance use disorders.
She has a strong and growing interest in autism, pediatric neurocognition, and broader neurodevelopmental conditions, with a particular focus on understanding cognitive and behavioral mechanisms in early development and translating these insights into more individualized and effective interventions.
Dr. Ganji completed her Psychiatry Residency at Mashhad University of Medical Sciences, where she also gained extensive clinical experience in the diagnosis and treatment of a wide range of psychiatric disorders. She is a board-certified psychiatrist with clinical expertise in both inpatient and outpatient psychiatric care.
At Stanford University, she has contributed to multiple interdisciplinary research programs. In Dr. Maldonado’s lab, she serves as a research coordinator for large-scale clinical and longitudinal studies, including delirium outcomes in patients (LUCIDIFY study), psychosocial assessment in transplant candidates (SIPAT project), and clinical cohorts involving CAR-T and hematopoietic stem cell therapy.
Previously, in the Brain Stimulation Lab at Stanford, she gained hands-on experience in transcranial magnetic stimulation (TMS), including motor threshold assessment and clinical application of H-coil protocols in patients with OCD, depression and anxiety disorders. She also received training in functional MRI (fMRI) data acquisition and interpretation through advanced neuroscience courses.
In Iran, she served as Research and Development Lead at Atrin Clinic, where she integrated repetitive TMS (rTMS), pharmacological treatment, and clinical assessment tools for patients with major depressive disorder, generalized anxiety disorder, and substance use disorders, while systematically monitoring treatment outcomes.
Her research output includes multiple peer-reviewed publications in international journals, covering topics such as autism spectrum disorder, neuromodulation in bipolar disorder, congenital heart defects in vulnerable pediatric populations, neurocognitive effects of environmental exposure, and adjunctive treatments in psychiatric disorders.
Beyond research, Dr. Ganji is actively involved in academic service, including conference organization, neuropsychiatry committee activities, and peer review for scientific journals. She has also completed professional training in mind-body medicine approaches.
Dr. Ganji is deeply committed to patient-centered psychiatry and is particularly motivated by understanding autism, neurodevelopmental disorders, and pediatric cognitive neuroscience. She aims to bridge neuroscience and clinical psychiatry to develop more precise, individualized interventions that improve outcomes in children and patients with complex psychiatric and neurodevelopmental conditions. -
Kristen N Ganjoo
Professor of Medicine (Oncology)
Current Research and Scholarly InterestsGiant cell tumor of the bone
Gastrointestinal stromal tumors
Soft tissue sarcoma
Osteosarcoma -
Andrea Gann
Administrative Associate, Center for Ocean Solutions
Current Role at StanfordAdministrative Associate, Center for Ocean Solutions
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Hayley Gans
Clinical Professor, Pediatrics - Infectious Diseases
Current Research and Scholarly InterestsThe focus of my laboratory is the immune response to viral vaccines evaluating the ontogeny of responses in infants and limitations in immunocompromised hosts. We have studied responses to an early two-dose measles immunization, one versus 2 doses of varicella immunization, and polio vaccine in preterm versus term infants. Other active areas of research include measles and varicella immunity in HIV infected individuals, and transplant recipients.
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Alex Gao
Assistant Professor of Biochemistry and of Microbiology and Immunology
Current Research and Scholarly InterestsWe integrate computational genome mining with high-throughput experimental approaches and structural biology to harness the rich diversity of genes from microbes, with the goal of developing new antibiotic strategies and molecular biotechnology. A major area of current interest is uncovering novel molecular functions involved in anti-phage defense and bacteria–phage interactions, which are a major driver of molecular innovation in nature.
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Andrew Kean Gao
Masters Student in Computer Science, admitted Autumn 2023
BioImmersed in the AI space since 2019, Andrew is excited by the potential of AI/ML in all domains of industry, academia, and life. He has built several popular projects in AI, such as Lightspeed Multithreading and BibleGPT. His team won a Grand Prize at Stanford TreeHacks 2023 out of nearly 2,000 competitors. Beyond AI, Andrew has conducted research in molecular biology, disease diagnosis, drug design, and computational immunology.
Software developer and student at Stanford University specializing in artificial intelligence and large language models.
Personal websites:
https://andrew.md/
https://andrewgao.dev/ -
Chongkai Gao
Graduate Visiting Researcher Student, Computer Science
BioChongkai is a PhD student from the National University of Singapore, and a visiting student researcher at Stanford University in Prof. Fei-Fei Li's group. His research is about building hierarchical foundation models and structured evaluation of general-purpose robot manipulation. Homepage: https://chongkaigao.com/.
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Grace Gao
Associate Professor of Aeronautics and Astronautics and, by courtesy, of Electrical Engineering
BioGrace Gao is an associate professor in the Department of Aeronautics and Astronautics at Stanford University, with a courtesy appointment in the Electrical Engineering Department. She leads the Navigation and Autonomous Vehicles Laboratory (NAV Lab) and serves as co-director of the Stanford AI Safety Center and co-lead of the Stanford SystemX Robotics area. Her research focuses on robust and secure perception, localization, and navigation, with applications in crewed and uncrewed aerial vehicles, autonomous cars, humanoid robots, and space robotics.
Prof. Gao has won numerous awards, including the NSF CAREER Award, the Institute of Navigation Early Achievement Award, the RTCA William E. Jackson Award, and the Inspiring Early Academic Career Award from Stanford University. In addition to her research achievements, she has received significant recognition for her teaching and advising, including the AIAA Stanford Chapter Excellence in Advising Award and the Excellence in Teaching Award. -
Jiechao Gao
Postdoctoral Scholar, Civil and Environmental Engineering
BioJiechao Gao is a Postdoctoral Research Associate at Stanford University's Center for Sustainable Development and Global Competitiveness. He received his Ph.D. in Computer Science from the University of Virginia, his M.S. in Electrical Engineering from Columbia University, and dual B.S. degrees in Applied Physics and Financial Engineering from Jilin University. Prior to joining Stanford, he served as an Associate Research Scientist at Columbia University.
His research spans federated learning, large language model (LLM) interpretability and efficiency, reinforcement learning, and privacy-preserving AI, with applications in healthcare, smart buildings, IoV, and finance. He has published extensively at top venues including ICLR, NeurIPS, ICML, AAAI, EMNLP, KDD, CVPR, ACL, etc. He serves as Area Chair or Senior Program Committee member for conferences such as ICLR, NeurIPS, ICML, AAAI, EMNLP, KDD, IJCAI, IJCNN, ICASSP, and reviews for journals such as JMLR, IEEE IoT-J, and IEEE TITS. His recognitions include the Google HE Faculty AI Fellowship (2026), Stanford/Elsevier Global Top 2% Scientists (2024 & 2025), and multiple Best Paper Nominations. -
Mars Liyao Gao
Affiliate, Statistics
BioMars Liyao Gao is an incoming postdoctoral scholar at Stanford University. Prior to Stanford, he finished his Ph.D. in Computer Science at the Paul G. Allen School of Computer Science & Engineering.
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Xiaojing Gao
Assistant Professor of Chemical Engineering
Current Research and Scholarly InterestsHow do we design biological systems as “smart medicine” that sense patients’ states, process the information, and respond accordingly? To realize this vision, we will tackle fundamental challenges across different levels of complexity, such as (1) protein components that minimize their crosstalk with human cells and immunogenicity, (2) biomolecular circuits that function robustly in different cells and are easy to deliver, (3) multicellular consortia that communicate through scalable channels, and (4) therapeutic modules that interface with physiological inputs/outputs. Our engineering targets include biomolecules, molecular circuits, viruses, and cells, and our approach combines quantitative experimental analysis with computational simulation. The molecular tools we build will be applied to diverse fields such as neurobiology and cancer therapy.
