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emphasizes statistical inference within high-dimensional testing frameworks and incorporates robust feature selection into artificial intelligence techniques. The team collaborates closely with the Stanford
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these with functional genomics and molecular biology techniques to study their impact on physiology, we aim to better understand GPCR signaling and to provide a foundation for the design and testing of novel
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examine child health impacts of floods in India. The postdoctoral scholar will be co-mentored by Eran Bendavid (School of Medicine) and Steve Gorelick (Doerr School of Sustainability), and will work
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, ministries of health, and local enumerator teams to manage survey logistics. Oversee enumerator training, pre-testing, and quality assurance protocols. Code survey into appropriate software (e.g., SurveyCTO
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urgent questions of practical relevance and to design studies to test pragmatic solutions, analyze data, and disseminate findings and implications. The program will also provide fellows with training in
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core facility; (4) testing compounds of interest in iPSC-derived neurons and (5) collaborating with multiple labs to coordinate further in vitro and in vivo testing of select compounds in preclinical
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vivo studies, including analyzing patient-derived Tregs and other immune cells, differentiating Tregs and other immune cells in vitro and testing their phenotype and function, and working with humanized
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testing of the Identity Project and the E4 Teacher Professional Development program in the United States – identifying feasible and effective strategies to support educators as they prepare to implement
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, biologics, and cannabis. Apply statistical and machine learning approaches (e.g., sequence analysis, latent class analysis, clustering) to examine medication use trajectories and patient subgroups