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RNA-seq, single-cell ATAC-seq, multiome, etc). Demonstrated ability to effectively communicate about complex bioinformatics problems to both technical and non-technical audiences. Independent, highly
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works to interpret genomes and distill the immensely complex networks that form the foundation of human biology and disease, through accurate machine learning models. Current areas of interest include
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psychological assessments. Training in professional skills development will also be offered, including guidance in writing grants and papers, assistance in building a professional network, supervising trainees
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related disorders (ADRD). The Lab’s overarching goals are 1) to achieve a better understanding of the complex causes and mechanisms leading to ADRD, 2) to improve early detection and longitudinal monitoring
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following areas: human neuroimaging analysis (e.g., FSL, FreeSurfer, SPM12, ANTS, etc.), complex network analysis (e.g., modularity, centrality, etc.), and multi-omics data analysis. Strong programming skills
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genomics and transcriptomics, single-cell RNA-seq, Perturb-seq) Demonstrated ability to clearly and effectively communicate about complex bioinformatics problems to both technical and non-technical audiences
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works to interpret genomes and distill the immensely complex networks that form the foundation of human biology and disease, through accurate machine learning models. Current areas of interest include
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aims to cultivate the next generation of leaders with expertise in the social impacts of technology, and build a network of public interest thinkers who learn from and support each other’s work
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but also social/networking events and activities to ensure scholars have the best experience at ASU and develop a strong sense of belonging and engagement. About Arizona State University ASU is a large
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models and other natural language processing techniques applied to language understanding and the next generation of search engines. AI + Health: This area levarages AI to study and solve complex problems