School of Medicine
Showing 1-50 of 100 Results
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Yuheng (Rene) Cai
Postdoctoral Scholar, Otolaryngology - Head & Neck Surgery
BioDr. Yuheng Cai graduated from Shanghai Jiao Tong University with a bachelor's degree in Biomedical Engineering in Shanghai, China. She then received a master’s degree in Biomedical Research from Imperial College London in London, UK, with a concentration in Data Science. She received her PhD in Biomedical Engineering at University of North Carolina at Chapel Hill and North Carolina State University.
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Pere Canals
Postdoctoral Scholar, Radiology
Current Research and Scholarly InterestsI have deep interest in studying how to leverage state-of-the-art AI advancements in the field of computer vision to develop applications with a practical use in day-to-day workflows in stroke treatment and other neurovascular diseases. For example, I want to study how we can use foundation models in 3D imaging to unlock novel applications with a real impact on stroke care. My main expertise has resided in understanding how complex vascular anatomies impact endovascular treatment in stroke.
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Austen Brooks Casey
Postdoctoral Scholar, Anesthesiology, Perioperative and Pain Medicine
BioAusten Brooks Casey, PhD, is a postdoctoral scholar in the Department of Anesthesiology, Perioperative and Pain Medicine (advisor: Boris Dov Heifets, MD, PhD). He originates from western North Carolina, and has had a long-standing interest in drug discovery for major depression and schizophrenia, which was invigorated by initial coursework in organic chemistry and biochemistry. Austen trained at Northeastern University (advisor: Raymond G. Booth, PhD) where he studied the medicinal chemistry and pharmacology of novel ligands targeting serotonergic G protein-coupled receptors. Currently, he is investigating neural circuits activated by psychedelic drugs, with the long-term goal of using modern techniques in neuroscience to complement drug design efforts toward the development of novel antidepressant and antipsychotic medications.
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Carlos Castillo Passi
Postdoctoral Scholar, Radiological Sciences Laboratory
BioCarlos Castillo-Passi began his academic journey at Pontificia Universidad Catolica de Chile (PUC), where he earned both a degree and an MSc in Electrical Engineering in 2018. He then pursued a PhD in Biological and Medical Engineering through a joint program between PUC and King’s College London (KCL), completing it with maximum distinction in 2024. His research focused on the design of low-field cardiac MRI sequences using open-source MRI simulations. In 2023, his work on open-source MRI simulations was highlighted by the editor of Magnetic Resonance in Medicine (MRM). Furthermore, his application of this work to low-field cardiac MRI earned him the Early Career Award in Basic Science from the Society for Cardiovascular Magnetic Resonance (SCMR) in 2024. In addition to his research, Carlos is an active member of JuliaHealth, contributing to the development of high-performance, reproducible tools for health and medicine. In 2025, he joined Stanford University as a postdoctoral researcher, where he continues his work in cardiac MRI and open-source technologies.
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Katie Cederberg
Postdoctoral Scholar, Psychiatry
BioDr. Cederberg is a postdoctoral scholar at Stanford University in the Mignot Lab, where she devotes her time to conducting research leveraging large datasets and machine learning approaches aimed at better understanding the relationship among genetics, proteomics and the presence and severity of symptoms related to sleep disorders. Her research further focuses on studying the effectiveness of exercise for managing symptoms of sleep disorders, primarily restless legs syndrome (RLS) and co-occurring conditions (e.g., periodic limb movements and insomnia). Her current research explores patients’ experiences with exercise and RLS, as well as the relationship between exercise and proteomic biomarkers of RLS. She received her PhD in Rehabilitation Science from the University of Alabama at Birmingham, and her dissertation used a series of methodological approaches to comprehensively examine the relationship between physical activity and RLS in adults who have multiple sclerosis. She is using her experience and training to develop a line of research for identifying the mechanism of action for the effect of exercise and informing exercise prescription parameters for managing symptoms of RLS.
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Bettia Edith Celestin
Postdoctoral Scholar, Pathology
Current Research and Scholarly InterestsMy research focuses on advanced echocardiographic imaging of the right heart and pulmonary circulation, with a strong emphasis on integrating artificial intelligence and deep learning into clinical cardiology. I led cardiovascular phenotyping for NIH-funded immune aging cohort and am developing a research program in women's cardiovascular health, including sex-specific imaging phenotypes and the cardiovascular consequences of adverse pregnancy outcomes across the menopausal transition.
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Antara Chakravarty
Postdoctoral Scholar, Microbiology and Immunology
BioAntara Chakravarty is a postdoctoral scholar in the laboratory of Dr. Priscilla Yang at Stanford Medicine, where she develops small-molecule-based targeted protein degradation strategies against viral proteins. Her work focuses on understanding how viral proteins interface with host cellular pathways, including mechanisms that influence antiviral signaling responses. She is also interested in virus-induced remodeling of host membrane lipids and studies these processes using the hepatitis C virus replicase complex as a model system.
Antara received her doctoral training in molecular virology in the laboratory of Dr. A. L. N. Rao at the University of California, Riverside, where she discovered key roles for viral capsid dynamics in the pathogenicity and infectivity of multipartite bromoviruses. Her emerging research interests focus on developing chemically controllable tools to investigate host immune signaling pathways. -
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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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. -
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.
