Stanford University


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  • Mattias Rydberg

    Mattias Rydberg

    Postdoctoral Scholar, Plastic and Reconstructive Surgery

    BioMattias Rydberg, MD, PhD, is a hand surgeon and postdoctoral scholar in the Division of Plastic and Reconstructive Surgery at Stanford University School of Medicine. His research focuses on epidemiology, machine learning, and digital health technologies in hand surgery and musculoskeletal disease. Dr. Rydberg completed his medical and doctoral training at Lund University in Sweden, where his PhD work focused on diabetic hand disorders and large-scale register-based research.

    At Stanford, he works in the laboratory of Dr. Paige Fox, studying peripheral nerve disorders, fibroproliferative diseases, and AI-based motion tracking technologies for upper extremity assessment. His current projects include national database studies on diabetes and entrapment neuropathies, frozen shoulder and Dupuytren’s disease, and the development of camera-based hand motion analysis tools using machine learning and computer vision.

  • Yann Sakref

    Yann Sakref

    Postdoctoral Scholar, General Surgery

    BioYann Sakref is a Postdoctoral Scholar in General Surgery at Stanford University, working within the Knowlton Lab. With a passion for interdisciplinary sciences and advancing medical biotechnology and patient care, Yann is developing clinical and AI solutions as part of an ARPA-H-funded project under Dr. Knowlton's supervision. His work focuses on creating computer vision models for surgical assistance and contributing to the collaborative development of innovative tools by working closely with clinical, engineering, and AI teams. He also works closely with collaborators at the S-SPIRE Center.

  • Nazish Sayed MD, PhD

    Nazish Sayed MD, PhD

    Associate Professor (Research) of Surgery (Vascular Surgery)

    Current Research and Scholarly InterestsThe Sayed Laboratory investigates how endothelial dysfunction contributes to cardiovascular disease and leverages human stem cell technologies to identify novel therapeutic strategies. Our research integrates patient-derived induced pluripotent stem cells (iPSCs), engineered cardiac tissues, organoids, human biospecimens, and multi-omic technologies to uncover mechanisms underlying inherited and acquired cardiovascular diseases.

    A major focus of the laboratory is understanding endothelial–cardiomyocyte communication in cardiomyopathy. Using patient-specific iPSCs, human cardiac organoids, engineered heart tissues, spatial transcriptomics, and single-cell multi-omics, we study how endothelial dysfunction drives myocardial fibrosis, inflammation, and heart failure. Current efforts include investigations into LMNA-related dilated cardiomyopathy, endothelial-to-mesenchymal transition (EndoMT), and mechanisms of fibrotic remodeling.

    A second major area of research is cardio-oncology. The laboratory develops human disease models to understand cardiovascular complications associated with cancer therapies, including tyrosine kinase inhibitors and immune checkpoint inhibitors. These studies have identified novel vascular mechanisms underlying treatment-related hypertension, cardiomyopathy, and heart failure.

    The laboratory also investigates cardiovascular aging, toxic environmental exposures, rare vascular diseases, and regenerative medicine. By integrating human tissues, advanced stem cell models, genome engineering, spatial biology, and artificial intelligence–enabled multi-omic analyses, our goal is to develop precision therapeutic strategies that improve cardiovascular health and patient outcomes.

  • Stephen Schendel

    Stephen Schendel

    Professor of Surgery (Plastic and Reconstructive Surgery) at the Stanford University Medical Center, Emeritus

    Current Research and Scholarly InterestsSurgical correction and the study of growth and development of craniomaxillofacial anomalies and deformities.

    1. Histochemical Analysis of Facial Muscles.
    2. Cranial Sutural Manipulation.
    3. Stability of Mandibular and Maxillary Surgery.
    4. Growth Factors in Infant Cranial Sutures.
    5. Virtual Surgery.
    6. 3-D Biocomputation4. Osteodistraction