Stanford University


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  • Lu Lu

    Lu Lu

    Postdoctoral Scholar, Mechanical Engineering

    BioDr. Lu Lu is currently a postdoctoral researcher at Stanford University. He received his B.S. and Ph.D. degrees from Ningbo University and Shanghai University in China in 2014 and 2019, respectively. He then worked as a postdoctoral researcher at Peking University from 2020 to 2022 before joining Stanford. His research interests focus on solid mechanics, with emphasis on mechanical instabilities, deployable structures, mechanics of intelligent soft materials, plate and shell theories, and nonlocal elasticity. He has published nearly 30 peer-reviewed papers in journals such as PNAS, JMPS, IJSS, AMR, IJMS, JAM, and PRSA, and received the ASME Melville Medal in 2024.

  • Xinyu Lu

    Xinyu Lu

    Graduate Visiting Researcher Student, Education

    BioXinyu Lu is a Doctoral Candidate in Educational Economics and Management at Zhejiang University and a Visiting Scholar and Research Associate at Stanford University. Her research lies at the intersection of Computational Education, Economics of Education, Learning Analytics, Educational Measurement, and Evidence-Based Education Policy. She is particularly interested in leveraging artificial intelligence, large-scale educational data, and causal inference methods to understand learning processes, evaluate educational interventions, and support talent development.

  • Anthony R. Lucas

    Anthony R. Lucas

    Postdoctoral Scholar, Psychiatry

    BioAnthony R. Lucas, PsyD is a postdoctoral fellow in the Department of Psychiatry and Behavioral Sciences at Stanford University School of Medicine. He provides psychotherapy in the ADAPT Clinic for Mood and Anxiety Disorders and the Addiction Medicine Dual Diagnosis Clinic.

    In the ADAPT Clinic, Dr. Lucas focuses on diagnostic formulation and psychotherapy for mood and anxiety disorders, drawing on structured and transdiagnostic approaches while attending to the psychological and contextual factors that shape symptom presentation and recovery.

    In the Addiction Medicine Dual Diagnosis Clinic, he provides psychotherapy for individuals with substance use disorders and behavioral addictions and co-occurring psychiatric conditions, centering collaborative treatment planning and addressing the interplay between addiction, trauma, and mental health.

    Dr. Lucas also provides clinical supervision to graduate student trainees at the Palo Alto VA, with a focus on case formulation, clinical reasoning, and reflective professional development.

    Dr. Lucas completed his APA-accredited doctoral internship in Clinical Psychology at Kaiser Permanente Northern California, Addiction Medicine & Recovery Services, Walnut Creek.

  • Charlotte Luff

    Charlotte Luff

    Postdoctoral Scholar, Psychiatry

    BioCharlotte is a postdoctoral scholar in the lab of Professor Luis de Lecea. Her research interests include the brain phenomena underpinning non-invasive neuromodulation such as focused ultrasound and electrical brain stimulation, and in the de Lecea lab she studies this with relation to sleep and addiction. Charlotte completed her PhD in the Interventional Systems Neuroscience lab of Dr Nir Grossman at Imperial College London. Her PhD research focused on uncovering the biophysical mechanism of temporal interference (TI) brain stimulation, primarily using electrophysiology and computational modelling. During her PhD, Charlotte spent a year as a visiting PhD student in Professor Ed Boyden’s lab at MIT, where she was trained in automated in-vivo patch clamp. Previously, Charlotte completed a BSc in Biomedical Science at King’s College London, and an MRes in Experimental Neuroscience at Imperial College London.

  • Xiangde Luo

    Xiangde Luo

    Postdoctoral Scholar, Radiation Physics

    BioXiangde Luo is a postdoctoral researcher in Professor Ruijiang Li’s lab at Stanford Medicine, where he specializes in computational pathology. His work centers on developing AI‑driven methods for imaging biomarker discovery and precision oncology. Previously, he has developed some deep learning models to enable annotation‑efficient learning and advance biomedical image analysis. For a comprehensive overview of my research, please visit my Google Scholar profile: https://scholar.google.com/citations?hl=en&user=dD4HLS4AAAAJ. If you’d like to learn more or discuss potential collaborations, please don’t hesitate to get in touch.