Stanford University


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  • Sijie Chen

    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.

  • Cynthia Chuang

    Cynthia Chuang

    Clinical Professor, Radiation Oncology - Radiation Physics

    BioEducation:

    1990-B.S., Bioelectrical Engineering (6-1B), Massachusetts Institute of Technology, Cambridge, MA

    1992-M.S., Bioengineering, University of Pennsylvania, Philadelphia, PA

    1994-M.S., Nuclear Engineering (NMR Spectroscopy), Massachusetts Institute of Technology, Cambridge, MA

    1999-Ph.D., Nuclear Engineering (Boron Neutron Capture Therapy), Massachusetts Institute of Technology, Cambridge, MA

    2001-Postdoctoral Fellowship (Peregrine Project), Lawrence Livermore National Laboratory

    2003-Medical Physics Residency, University of California, San Francisco (joint 3.5-year postdoctoral and residency program)


    Academic Appointments:

    2003 - 2005-Clinical Instructor, Radiation Oncology, University of California, San Francisco, San Francisco, California

    2005 - 2009-Assistant Adjunct Professor, Radiation Oncology, University of California, San Francisco, San Francisco, California

    2009 - 2013-Assistant Professor In Residence, Radiation Oncology, University of California, San Francisco, San Francisco, California

    2013 - 2017-Associate Professor In Residence, Radiation Oncology, University of California, San Francisco, San Francisco, California

    2017 - 2018-Associate Professor of Clinical Radiation Oncology, University of California, San Francisco, San Francisco, California

    2019 - 2023-Clinical Associate Professor, Department of Radiation Oncology, Clinical Educator Line, Stanford University, Stanford, CA

    2023- Present-Clinical Professor, Department of Radiation Oncology, Clinical Educator Line, Stanford University, Stanford, CA