Stanford University
Showing 951-1,000 of 2,733 Results
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Aleesha Jethwa
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
BioDr Jethwa is a postdoctoral fellow working in Dr Sultan's lab, within the Obstetric Anesthesiology Department. She is funded by the R90 HEAL/Pain Cohort grant. Her research focuses on the peripartum period and how targeted interventions can alter recovery trajectories.
Dr Jethwa previously worked as a resident anesthesiologist in the UK for 7 years including rotations in Internal Medicine, Obstetrics, and Pain Medicine and completed a Masters in Education at the University of Pennsylvania focused on medical education. -
Rathinaraja Jeyaraj
Postdoctoral Scholar, Pathology
BioI work at the intersection of AI, multimodal learning, and large-scale image analytics, with a strong focus on computational pathology and foundation models for healthcare. My current research interests include LLMs, VLMs, multimodal reasoning, whole-slide image analysis, retrieval-augmented generation (RAG), and trustworthy AI for medical decision support.
I develop scalable deep learning systems spanning WSI preprocessing, multiple instance learning, segmentation, survival prediction, and multimodal image-text modeling. My work also involves attention interpretability, contrastive learning, pathology foundation model adaptation, and large-scale AI pipelines. Beyond healthcare AI, I have experience in time-series forecasting, distributed computing, cloud infrastructure, and real-time computer vision systems for industrial and smart-city applications.
I am particularly interested in building reliable, interpretable, and clinically meaningful AI systems that bridge computer vision, multimodal learning, and large-scale reasoning. -
Aditi Jha
Postdoctoral Scholar, Statistics
BioI am a computational neuroscientist, working at the intersection of machine learning and systems neuroscience.
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Lu Ji
Postdoctoral Scholar, Radiation Biology
BioDriven by the enthusiasm and curiosity about life science and human disease, I have been working on cancer research for more than 5 years. I focus on developing novel therapeutic targets from tumor microenvironment and uncovering mechanisms of tumor progression, especially with expertise in gastrointestinal tumor biology and tumor microenvironment analysis. Now I'm digging into a field about finding a way to empower immunotherapy by appropriately utilizing radiation therapy.
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Feng Jiang
Postdoctoral Scholar, Genetics
BioI am a postdoctoral researcher working on RNA editing.
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Enyi Jiang
Graduate Visiting Researcher Student, Computer Science
BioI am a third-year Computer Science Ph.D. student at the University of Illinois at Urbana-Champaign, advised by Prof. Sanmi Koyejo and Prof. Nancy Amato. I am broadly interested in trustworthy machine learning, especially in AI safety and alignment.
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Yan Jiang (姜琰)
Postdoctoral Scholar, Education
BioDr. Yan Jiang is a Postdoctoral Scholar at the Stanford Center on Early Childhood. She earned her Ph.D. in Education Studies, with a specialization in Computational Social Science, from the University of California, San Diego. Her research examines how social, cultural, and institutional conditions shape children’s development and create unequal opportunities across family and early education settings. In particular, she studies how unequal resources affect the developmental opportunities families and educators are able to provide for children, and how unequal recognition shapes whose knowledge and practices are valued as legitimate ways of supporting children. To understand these processes, she uses quantitative, computational, and qualitative methods to examine the lived realities of children, families, and educators within the contexts of their everyday lives. Her scholarship has been recognized with the Dissertation Research Funding Award from the Society for Research in Child Development, the Yankelovich Graduate Research Grant, and the International Institute Research Fellowship at UC San Diego. Her research has appeared in leading journals, including Educational Researcher, Review of Educational Research, and Teaching and Teacher Education.
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Nerea Jimenez Tellez
Postdoctoral Scholar, Cardiovascular Institute
BioNerea is a Postdoctoral Scholar at Dr. Joseph Wu's lab. She earned her Bachelor's degree in Biochemistry at Universidad Complutense de Madrid (Spain). She was in an exchange program at the University of Saskatchewan (Canada) where she completed her Honours Thesis project on the Regulation of the Metastasis Suppressor Protein CREB3L1 in Dr. Deborah H Anderson's lab. She received her Masters' degree at Universidad de Alcalá (Spain) working at Dr. Isabel Liste Noya's lab on The role of p27Kip1 in the pluripotency and differentiation of dopaminergic neurons. She obtained her Ph.D. in Dr. Naweed Syed's lab studying the Cellular and molecular mechanisms underlying anesthetic-induced cytotoxicity, and their impact on learning and memory. She has received an ATRAC postdoctoral fellowship (Aug 2022 - Aug 2023), an AHA postdoctoral fellowship (Apr 2023 - Sept 2024) and currently holds a TRDRP Postdoctoral Fellowship (Jul 2024 - Jun 2027) titled "Using a human in vitro platform to study the effects of cannabinoids on the cardiovascular system" .
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Yingying Jin
Postdoctoral Scholar, Human Gene Therapy
BioYingying is a postdoctoral researcher at Kay Lab. She completed her PhD at Peking Union Medical College in China in 2024, under the supervision of Prof. De-Pei Liu. Her research focused on gene editing and ssDNA-protein interactions. During her PhD, she developed an innovative strategy to enhance HDR efficiency of ssDNA donors by incorporating HDR-boosting modules. In 2025, she joined Kay Lab, where her current work involves improving exogenous gene expression delivered by AAV through engineering the AAV genome.
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Castro Johnbosco
Postdoctoral Scholar, Orthopedic Surgery
BioI am a bioengineer working at the interface cell-biomaterial interface to study various biological process by engineering material driven invitro systems.
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Sarah Johnson
Research Engineer, Wu Tsai Human Performance Alliance
BioI design and drive studies using wearables that combine modelling, data analysis and software development to address problems that limit human performance.
I have with a particular interest in female health, and work to translate findings into practical solutions. -
Jamie S. Johnston
Research and Evaluation Director, Stanford Center for Health Education, Pediatrics - Infectious Diseases
BioJamie Johnston is the Research and Evaluation Director for the Stanford Center for Health Education. Her work focuses on the use of technology to improve educational access and health education in under-resourced areas. Jamie completed a PhD in Economics of Education at the Stanford Graduate School of Education in 2017, where she was an Institute of Education Sciences (IES) doctoral fellow. She also completed a postdoctoral fellowship with Stanford School of Medicine. Additionally, Jamie holds a BS in Social Policy from Northwestern University, an MPP from the University of Chicago, and an MA in Economics from Stanford University.
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Carly E. Jones
Postdoctoral Scholar, Radiology
BioCarly completed her BASc in Engineering Physics (UBC) in 2017. She began the MASc program in Biomedical Engineering at UBC in 2017 and transferred into the PhD program in the spring of 2019. Carly successfully defended her PhD thesis in July of 2024 and began a Postdoctoral Fellowship at Stanford University in September of 2024 in the Radiology Department. Carly received the Young Investigator Award from the International Society of Osteoarthritis Imaging in 2019 for her work on cartilage health in hips with bone marrow lesions. She is also a passionate educator and received a Killam Graduate TA Award in 2021 for her TA work in the Mechanical and Biomedical Engineering Departments at UBC.
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Stephanie Jordan
Postdoctoral Scholar, Emergency Medicine
BioStephanie's research focuses on social and environmental determinants of health, U.S. public health policy, health services implementation science, and global health. Her research employs primarily quantitative methods. She received her PhD in Public Policy and Sociology from Duke University, where her dissertation analyzed the population health impacts of U.S. state public service expenditures on social, environmental, and healthcare services.
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Chaitanya K. Joshi
Postdoctoral Scholar, Biochemistry
BioI'm a Stanford Data Science Fellow and postdoc with Rhiju Das at the Department of Biochemistry. I build lab-in-the-loop AI for RNA biology, pairing deep learning with wet-lab experiments at scale.
I did my PhD in Computer Science at the University of Cambridge with Pietro Liò, on geometric deep learning for molecular design. I built gRNAde, the first 3D generative model for RNA, and validated it in the wet lab as a visiting researcher in Phil Holliger's group at the MRC LMB. I've also interned at Prescient Design (Genentech) and FAIR Chemistry (Meta AI), and my work has been recognized by the Qualcomm Innovation Fellowship and the A*STAR National Science Scholarship. -
Israel Juarez Contreras
Postdoctoral Scholar, Biochemistry
Current Research and Scholarly InterestsSterols are the most abundant lipid in the plasma membrane. Their structure is deeply conserved, built though a long iterative evolutionary process whose end products are the topology of the fused steroid ring system and the structure of the aliphatic tail extending from it. Together these let the molecule pack tightly against the acyl chains of neighboring lipids, which is how sterols reinforce the membrane and set its fluidity. This same interaction produces a second effect. Sterols associate preferentially with saturated lipids, particularly sphingolipids, and that preference sorts the bilayer into ordered domains, often called lipid rafts, which concentrate certain proteins and exclude others.
The Bloch hypothesis holds that the sterol biosynthetic pathway was progressively selected for membrane function, with each step yielding a molecule better suited to the bilayer than the one before it. Fluidity has historically been taken as the property under selection, but it is not the only one. Rebuilding ergosterol biosynthesis stepwise in living yeast showed that domain formation imposes its own demands, and that the two properties are not optimized by the same modifications. The pathway alternates between them, arriving at structures that regulate fluidity and organization together rather than either alone. A further design principle follows from this. The pairing between a sterol and the acyl chain length of its partner sphingolipid is highly specific. Replacing the native pathway in yeast with cholesterol biosynthesis abolished the domains ergosterol supports, since ergosterol pairs with the very long acyl chains of fungal sphingolipids while cholesterol pairs with the shorter chains of mammalian membranes.
These principles, observed in fungi, carry direct consequences for mammals, where cholesterol occupies two distinct pools. One is structural, held in complex with sphingolipids and other lipids. The other is a residual fraction, free or accessible that carries out essential roles in signaling and homeostasis. Accessible cholesterol is defined operationally, by what a probe can bind, but what it corresponds to physiochemically remains open. My central goal is to define accessible cholesterol through a more rigorous biophysical lens and connect that definition to the machinery in cells.
