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machine learning and artificial intelligence methods for engineering. These programs specifically focus on 1) machine learning and AI for engineering systems, including those that are governed by physical
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mesenchymal and pulmonary vascular endothelial cells contributes to pulmonary vascular remodeling. Our current research program includes investigations into the role of hyperactive mTOR (mechanistic target
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the past 25 years, members of the Division have developed the world's leading bone marrow transplant program. In addition, members of the Division have made substantial contributions to many other areas
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services in the care of their patients. Planning: Works with administrative and clinical leaders to support quality and performance improvement to ensure that program goals are attained. Participates in task
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, and aligning financial practices with ALNW’s mission and vision. Analyze and maintain accounts receivable data integrity by extracting, processing, and interpreting information using statistical methods
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mechanistic evaluation of heterogeneous catalytic systems for biomass-derived and plastic waste feedstocks. Use in-situ NMR spectroscopy and complementary analytical methods (e.g., GC-MS, GPC, solution and
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for publication or presentation to peers. Solves practical problems relating to difficulties with equipment or test subjects. Suggests technical or procedural improvements in testing methods. Conducts literature
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combine computational and experimental approaches to define the transcriptomic and epigenomic programs of human macrophages, compare them with mouse counterparts, and investigate macrophage trafficking and
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parameters negotiates budgets with vendors. Coordinates with numerous departments to establish study specific support plans and to determine the cost. Serves as the single point of contact to facilitate data
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). To that end, we have developed methods to enrich for parasite invasion ligand proteins that bind to RBCs. We aim to characterize the parasite “bindome” using cell-culture, biochemistry and proteomics approaches