Stanford University
Showing 301-400 of 2,733 Results
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Xi Ying Amanda Chen
Postdoctoral Scholar, Stem Cell Transplantation
BioDr. Chen completed a Bachelor of Science (Honours) at the University of Sydney (NSW, Australia), with majors in Molecular Biology and Immunobiology. She graduated with the University Medal for her Honours research project where she investigated the novel role of DNA damage repair machinery on telomerase recruitment to telomeres. She then undertook her graduate studies at the Peter MacCallum Cancer Centre (The University of Melbourne, VIC, Australia) in the Beavis laboratory, where she developed a CRISPR knock-in strategy to engineer armored CAR T cells to express therapeutic payloads in a tumor-restricted manner. She joined the Porteus laboratory in the Department of Pediatrics at Stanford University in March 2025, where she is developing strategies to enhance gene-edited hematopoietic stem cell transplantation.
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Jieneng Chen
Postdoctoral Scholar, Computer Science
BioJieneng Chen is a Postdoctoral Researcher at Stanford SVL. He received the PhD in Computer Science at Johns Hopkins University in 2026.
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Rebecca C. Chen
Postdoctoral Scholar, Physics
BioBrinson Prize Fellow
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Sijie Chen
Postdoctoral Scholar, Radiation Physics
BioI am a postdoctoral fellow working with Dr. Lei Xing at Stanford University, where I develop trustworthy autonomous AI agents and foundational informatics systems for single-cell biology. My long-term vision is to build auditable computational infrastructure and virtual cell models that transform massive single-cell atlases into reliable, steerable systems for mechanistic discovery across tissues, diseases, and species. My doctoral work with Prof. Xuegong Zhang established my foundation in single-cell bioinformatics and atlas-scale integration, which I have since extended into large-scale representation modeling, AI agent workflows, and LLM-driven scientific discovery. My current work focuses on developing governed, agentic lifecycles for continuous single-cell data curation and foundation model evaluation, while applying these autonomous systems to power cross-organ virtual cell retrieval and simulate immune-tolerance breakdown.
My ongoing efforts build directly upon my prior work in atlas integration and algorithmic development. As the first author of hECA (Chen et al., 2022), I built a unified human cell atlas integrating one million high-quality cells across 38 organs with a logic-expression query interface. This experience exposed the central bottlenecks—such as heterogeneous formats and ontology grounding—that I now address using LLM-powered agents to enable autonomous metadata harmonization and iterative quality control. I am converting manual curation into an autonomous, agent-driven paradigm where new datasets are continuously ingested and versioned in a traceable manner. Furthermore, my co-development of TorchGW for cell state alignment, TFcomb for perturbation prediction, and TransMap for cross-species alignment provides the algorithmic foundation for next-generation cell foundation models and virtual cell simulation.
By integrating these components into trustworthy, benchmarked, and human-in-the-loop AI infrastructure, my research bridges scalable scientific computing with complex biomedical questions. Through close collaboration with Prof. Edgar Engleman, I am utilizing immune-tolerance breakdown—specifically focusing on a tolerogenic dendritic cell program—as a mechanistic testbed to validate our virtual cell simulations. A core focus of my work is ensuring that every agent-generated hypothesis and retrieved state remains bound to the exact data and model checkpoints that produced it, making findings fully re-derivable as the biological knowledge base evolves. Ultimately, I aim to advance the frontier of trustworthy autonomous single-cell informatics, bridging AI agents, virtual cell engineering, and biological discovery. -
Siyu Chen
Postdoctoral Scholar, Ophthalmology
BioMy research focuses on the development and optimization of CRISPR gene editing tools. iPSC modeling and developing gene therapies for Lowe Syndrome and Glaucoma.
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Tianqi Chen
Postdoctoral Scholar, Oncology
BioMy research interest lies in liquid biopsy and early cancer diagnostics, e.g. development of bioassay for detection of cancer biomarkers (proteins and genes) and single-cell research. As well as the integration of 3D-printed microfluidics.
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Wenting Chen
Postdoctoral Scholar, Radiation Physics
BioI am currently a Postdoc Fellow in the Department of Radiation Oncology of Stanford University, advised by Prof. Lei Xing. Before joining Stanford, I obtained my Ph.D degree in the Department of Electrical Engineering, City University of Hong Kong, supervised by Prof. Yixuan YUAN, Prof. W.S Tommy Chow, and Prof. L.H. Leanne Chan. I visited Massachusetts General Hospital and Harvard Medical School, supervised by Prof. Xiang Li and Prof. Quanzheng Li. Before that, I received the B. Eng and M. Eng degree from College of Computer Science and Software Engineering in Shenzhen University of China in 2017 and 2020, supervised by Prof. Linlin Shen. From Dec. 2019 to Nov. 2020, I had interned in Tencent Jarvis Lab, supervised by Dr. Shuang Yu and Prof. Yefeng Zheng.
My research interests lie in vision-language model, multi-modal large language model, generative AI, computer vision and their applications on medical AI, with a focus on report generation, medical image synthesis, endoscopy super-resolution, retinal image segmentation, multi-modality diagnosis, etc. -
Xiangjun Chen
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
BioDr. Xiangjun Chen is a Postdoctoral Scholar in the Department of Anesthesiology, Perioperative, and Pain Medicine at Stanford University. He earned his Ph.D. in Materials Science from UC San Diego, where he also completed a postdoctoral training prior to joining Stanford. His work focuses on engineering soft wearable systems for healthcare monitoring, AI-driven human-machine interfaces, and advanced actuators and sensors for soft robotics.
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Yiyun Chen
Postdoctoral Scholar, Stanford Cancer Institute
BioYiyun Chen is a computational cancer immunologist whose interdisciplinary training spans structural biology, computational genomics, and cancer immunotherapy. During her doctoral training at HKUST, she developed multi-omic frameworks to decode the molecular landscape of brain tumors, gastric cancer, and B cell lymphoma — including the discovery of a tumor-associated monocyte population in the glioma microenvironment that drives mesenchymal transformation through the FOSL2-EREG/AREG-EGFR signaling axis.
As a postdoctoral fellow in the Crystal Mackall Laboratory at Stanford Cancer Institute, she extended this focus to the co-evolution of glioma and the immune system during CAR T cell therapy, uncovering multiple mechanisms of acquired resistance: anti-CAR humoral and cellular immunity, proinflammatory-to-immunosuppressive phenotypic shifts in macrophages, and tumor antigen escape. Her future research program will build an AI-powered platform that integrates longitudinal single-cell and spatial transcriptomics to model tumor-immune co-evolution in silico — constructing patient-level digital twins that simulate treatment trajectories, predict resistance, and identify real-time monitoring biomarkers. -
Yunwei Chen
Postdoctoral Scholar, Economics
BioYunwei Chen is a Postdoctoral Scholar at Stanford University, affiliated with the Stanford Center on China's Economy and Institutions at the Freeman Spogli Institute for International Studies. She is also a Postdoctoral Fellow with the Stanford Impact Labs and a Global Health Postdoctoral Affiliate with the Stanford Center for Innovation in Global Health.
Her academic training is in global health economics. Prior to joining Stanford, she earned a PhD in Health Policy and Management (Economics Track) from the Gillings School of Global Public Health at the University of North Carolina at Chapel Hill in 2024.
Her research explores innovative solutions for effective delivery of public health interventions in resource-limited settings through rigorous experimental and quasi-experimental designs. Her current research agenda is centered on integrating digital health technologies to develop comprehensive and tailored interventions for children and mothers living in resource-limited settings during crucial developmental stages, aiming for both effectiveness and scalability. -
Jordan C. Cheng, DMD, PhD
Postdoctoral Scholar, Stanford Cancer Institute
Current Research and Scholarly InterestsMy research direction involves the evalutation of single-stranded library prepartion methods versus conventional double-stranded methods of cell-free DNA for non-invasive cancer profiling applications. The exploration of these technologies allow for the inference of the genomic and epigenetic features of both local and distant cell types associated with a biofluid.
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Vinay Chenna
Postdoctoral Scholar, Electrical Engineering
BioVinay Chenna is an incoming tenure-track assistant professor at Columbia University. He received a B.Tech in electrical engineering from the Indian Institute of Technology (IIT) Madras, Chennai, India, in 2019, and a Ph.D. in electrical engineering from the Ming Hsieh Department of Electrical and Computer Engineering at the University of Southern California, Los Angeles, CA, USA, in 2026. His current research focuses on leveraging computational techniques and optimization algorithms to design high-performance RF and mm-Wave integrated circuits. He was a recipient of the USC ECE Ming-Hsieh Institute (MHI) PhD Scholarship in 2026-27 (voluntarily declined), USC Annenberg Fellowship in 2019, and the USC IUSSTF-Viterbi summer research award in 2018. He has won the Best Student Paper Award - 1st Place at the IEEE Radio Frequency Integrated Circuits (RFIC) Symposium in 2025, the IEEE Solid-State Circuits Society (SSCS) Predoctoral Achievement Award in 2025-26, and the IEEE Microwave Theory and Techniques Society (MTT-S) Tom Brazil Graduate Fellowship in 2026. He currently serves as a reviewer for several IEEE journals, magazines, and conferences within the IEEE SSCS, APS, CAS, and MTT-S societies.
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Shashank Chetty
Basic Life Research Scientist, Rad/Pediatric Radiology
BioDr. Shashank Chetty is a Research Scientist at Stanford University School of Medicine specializing in regenerative medicine, extracellular vesicles, therapeutic ultrasound, and nanotechnology. His interdisciplinary research focuses on developing clinically translatable, non-invasive technologies to enhance tissue and organ regeneration, healthy aging, and the treatment of chronic and degenerative diseases through innovative bioengineering approaches.
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Audris Chiang, MD
Clinical Scholar, Dermatology
Postdoctoral Scholar, DermatologyBioAudris Chiang, MD is a Clinical Scholar and Postdoctoral Research Scholar of Dermatology. She received undergraduate degrees in Computer Science and Economics at UC Berkeley, and obtained her medical degree at UC Irvine. She completed dermatology residency training at Stanford in the 2+1 basic science research track. She continues to conduct research in the laboratories of Kavita Sarin, MD PhD and Christina Curtis, PhD, studying the genetics of skin cancers and patients who develop multiple skin cancers. Her clinical interests include general medical dermatology, skin cancer, and atopic dermatitis.
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Christina F. Chick
Instructor, Psychiatry and Behavioral Sciences - Child & Adolescent Psychiatry and Child Development
Current Research and Scholarly InterestsMy research examines the mechanistic contributions of sleep, cognition and affect to the onset and course of psychiatric disorders across the lifespan. I am particularly interested in adolescence as a period during which changes in circadian rhythm, sleep architecture, and sleep behavior co-occur with neuroendocrine development, psychosocial changes, and the onset of many psychiatric disorders. Given that sleep is a highly treatable target, increasing our understanding of the specific contributions of sleep to psychiatric symptom onset may facilitate the development of targeted interventions to mitigate the course of illness.
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Jennifer Chien
Postdoctoral Scholar, Philosophy
BioJennifer Chien earned a Ph.D. in Computer Science from the University of California, San Diego, and a bachelor's degree in Computer Science from Wellesley College. They were a recipient of the Graduate Fellowship for STEM Diversity. Jennifer is an interdisciplinary researcher focused on preserving user agency across AI/ML pipelines by linking technical decisions with their social consequences. Their work connects technical decisions with social and societal consequences to characterize, measure, and mitigate disparities in autonomy and support safer, more responsible AI. This includes exploring instrumental, cognitive and affective, and epistemic forms of agency. At UCSD, they served as President of Graduate Women in Computing, leading mentorship, outreach, and community-building initiatives and received the Doctoral Awards for Contributions to Diversity and to Service and Leadership, as well as the Xilinx Women in Technology University Grant. Jennifer is currently an Embedded Ethics Fellow in partnership with HAI and the Computer Science department.
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Ani Chiti
Postdoctoral Scholar, Physics
BioI am a Brinson Prize Fellow at Stanford University, primarily interested in the formation of the first stars and galaxies, the formation of heavy elements, the early Milky Way, and local dynamical tracers of dark matter. I observe and characterize nearby stars and galaxies that formed at early times to understand these topics, in an approach known as "Near-field cosmology" or "Galactic archaeology".
Before joining Stanford, I was the inaugural Brinson Prize Fellow in Observational Astrophysics at the University of Chicago. I obtained a PhD in Physics from MIT in 2021, and received bachelor's degrees in Physics and Mathematics from Cornell University in 2014. -
Vladimir Chituc
Postdoctoral Scholar, Psychology
Current Research and Scholarly InterestsPsychophysical measurement and psychometric modeling
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Woongbi Cho
Postdoctoral Scholar, Mechanical Engineering
BioWoongbi Cho is a postdoctoral scholar in the Department of Mechanical Engineering at Stanford University. He received his B.S. in Polymer Science and Engineering from Inha University in February 2019 , and his Ph.D. in Organic and Nano Engineering from Hanyang University in February 2025. His doctoral research focused on developing next-generation polymer composites, emphasizing processing-structure-property-performance (PSPP) relationships in liquid crystalline and sulfur-rich polymers. Currently, Woongbi's research interests center on adaptive materials, electromagnetically (EM)-driven soft robotics, polymer assembly mechanisms, and active metamaterials for applications in soft robotics, optoelectronics, and energy harvesting.
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Rafail Christodoulou
Postdoctoral Scholar, Radiology
BioRafail Christodoulou, is an analytically minded medical doctor with a profound interest in neuroradiology and neurointerventional radiology. He graduated with an excellent average mark from the University of Patras, Greece, where he deeply engaged with the fields of radiology and interventional neuroradiology. His robust clinical experience includes completing electives and observerships at premier medical institutions in the United States, reinforcing his commitment to delivering patient-centered care. Rafail's approach is characterized by compassion and an ability to communicate effectively with diverse patient groups. Beyond his clinical pursuits, Rafail is actively involved in research, focusing on the application of artificial intelligence in diagnosing and managing brain tumors and dementia. His research aims to enhance diagnostic accuracy and patient outcomes, reflecting his dedication to advancing medical science. Additionally, Rafail maintains a balanced lifestyle with interests in basketball, martial arts, strength training, and swimming, underscoring his commitment to personal and professional well being.
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Ian Coates
Postdoctoral Scholar, Radiology
BioI am a chemical engineer advancing photopolymerization chemistry, fluid mechanics, and materials science to enable fabrication strategies once thought impossible. Pioneered injection Continuous Liquid Interface Production (iCLIP), using active resin chemistry and fluid–optical coupling to achieve order-of-magnitude gains in 3D printing speed and resolution, and translated chemical control of reactive interfaces into free-form microfluidic microneedle systems for intradermal delivery of small molecules, biologics, and mRNA. Current research applies water-soluble biocompatible sacrificial resins and projection-based fabrication workflows to design and print high-resolution, perfusable microvascular architectures for integration into 3D tissue patches.
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Bernard Mawuli Cobbinah
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
BioCobbinah Bernard Mawuli is a Postdoctoral Scholar at Stanford University in the Department of Anesthesiology, Perioperative and Pain Medicine, School of Medicine. He is passionate about the intersection of AI and medicine, focusing on developing robust and effective approaches for preventive and predictive healthcare. His research aims to deepen the understanding of high-dimensional multi-omics medical data using advanced machine learning techniques. By exploring innovative ways to analyze this data, his work contributes to improved treatments and enhanced patient care. Through the analysis of large patient datasets, his goal is to create tools that empower clinicians to make more informed decisions, ultimately improving healthcare outcomes for all.
Prior to joining Stanford, he pioneered robust federated learning techniques for evolving data streams and developed methods to reduce multi-center MRI variability in diagnosing brain disorders.
