Important Info
Please email application to Dr. Zihuai He (zihuai@stanford.edu). Applications will be reviewed immediately after submission.
The research group led by Dr. Zihuai He (https://profiles.stanford.edu/zihuai-he; https://www.zihuai-he.com/) at Stanford University is recruiting postdoctoral scholars with prior training in statistics, biostatistics, computer science, bioinformatics or a closely related area. Applications are invited from ambitious, independent, and motivated candidates with a strong publication record.
Dr. He’s research group focuses on developing data-driven methodologies to identify and interpret features associated with aging, as well as risk and protective factors for Alzheimer’s disease (AD) and related dementias (ADRD), through integrated analyses of genetic, genomic, proteomic, and other biomarker datasets. The group’s approach emphasizes statistical inference within high-dimensional testing frameworks and incorporates robust feature selection into artificial intelligence techniques. The team collaborates closely with the Stanford Data Science Institute, the Stanford Institute for Human-Centered Artificial Intelligence, and the Stanford Alzheimer's Disease Research Center.
Postdoctoral scholars in this group will engage in four primary research areas: 1) statistical inference in high-dimensional and large-scale testing scenarios; 2) the development of novel model architectures for large-scale proteomics data; and 3) causal, personalized feature selection strategies for explainable AI methods; 4) efforts to translate data-driven findings into mechanistic insights and potential drug targets. Scholars are also encouraged to initiate and pursue independent research directions.
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Completed PhD in Statistics, Biostatistics, Computer Science, Bioinformatics, or a closely related area prior to their appointment.
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Strong programming skills (R, Python, C++ etc.).
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Excellent written and oral communication skills.
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Cover letter describing your interest in applying to the lab.
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Curriculum vitae.
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Contact information for 3 professional references.
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Your most recent or relevant publications.