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productivity while reducing external inputs. In parallel, the lab is expanding efforts to understand microbiome-associated phenotypes that contribute to drought tolerance and soil water retention. This includes
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computational biology, data mining, human-computer interaction and experience, machine learning, meta-heuristics, networking and mobile computing, parallel and high-performance computing, software engineering
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research and practice, including artificial intelligence, big data, bioinformatics and computational biology, data mining, human-computer interaction and experience, machine learning, meta-heuristics
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evolution under therapeutic pressure. In parallel, we study immune cell populations that contribute to either the progression or control of cancer, using advanced single-cell and spatial technologies
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in research and teaching in a number of areas, including: artificial intelligence, augmented reality, bioinformatics, computational biology, computational neuroscience, computer graphics, computer