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communicate by flexibly reasoning about what other agents know and want. Recently, we have been exploring how this framework of inferential social learning can be applied to develop socially intelligent
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characterize consistency and heterogeneity in mechanisms associated with word reading difficulties (i.e., developmental dyslexia) using a deep phenotyping approach. For example, despite 40 years of controversy
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immunosuppression, akin to PDL1-PD1 interactions. In collaboration with Carolyn Bertozzi’s group, we are developing bifunctional proteins that include an antibody to cell surface cancer proteins (e.g. PSMA, CA9) and
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and SUD. Develop proficiency in research methodology and skills. Develop skills to identify key research questions and to formulate testable hypotheses. Design and execute studies that test those
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art of mentoring and supervising burgeoning scholars. We value innovation, and our program provides an enabling environment for fellows to conceptualize, develop, and lead independent research
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protein engineering techniques. In parallel, we are also looking for postdocs interested in developing high-throughput screens for single-domain antibodies, called nanobodies, that perturb intracellular
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warehouses (e.g., electronic medical records and biobanks), implementation and evaluation opportunities in live healthcare systems, and professional development resources like (grant) writing workshops and
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postdoctoral fellow with interest in organic chemistry and radiopharmaceutical development. Successful candidates will join the Molecular Imaging Program at Stanford within the Department of Radiology, Stanford
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of physicists, engineers, and oceanographers interested in advancing our understanding of ocean science, water sustainability, and climate resilience. Our lab develops optical techniques based on spectroscopy
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language processing (NLP) to augment clinical decision-making and expand access to high-quality healthcare. Our lab develops new methods to improve model trustworthiness and leverages heterogeneous clinical data