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. RESEARCH IN THE LAB We are a team of structural and chemical biologists interested in how cells control metabolism in response to nutrients. We ask how nutrients are recognized by their protein sensors, how
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developments in sensor design, dataset transmission, data analysis, and numerical modeling to distinguish between normal and abnormal features. Here, the goal is to develop machine learning algorithms
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signaling cascades that are integrated through dynamic and context-specific networks driving the cellular responses. Given the complexity and dynamic state of signaling networks, the current understanding
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. Specific responsibilities include, but are not limited to, the following: Develop the core tensor network algorithm for full RIXS cross-section simulations. Benchmark simulation results against ED codes
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Qualifications: Experience applying machine learning and artificial intelligence methods in healthcare data settings Familiarity with EHR data models and networks (e.g., Epic Cosmos, PEDSnet, OMOP, PCORnet, N3C
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resilience. Additionally, SURI has established a network of stakeholders, including private firms, city governments, and international development institutions. The Postdoctoral Scholar will help extend
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of a data repository and analyzing data across multiple labs in the MAGIC research network. This position offers an excellent opportunity to further analytical and writing skills and to publish
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hypothesis driven mechanistic projects in vitamin A transport and transcriptional networks, integrating classic retinoid biology with lipid metabolism, inflammation, and translational human disease studies
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for aging populations Why Join Our Fellowship? World-Class Mentorship: Receive primary mentoring from Dr. Periyakoil Access to a large network of research mentors across Stanford Medicine, School
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, and implement opportunities for new research at the intersection of built environment and wellbeing Source, collect and analyze data from sensors, community observations, official records, and surveys