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Cecilia Aragon is a Professor in the Department of Human Centered Design & Engineering at the University of Washington, where she directs the Human-Centered Data Science Lab. Her research focuses on human-centered data science, particularly the intersection of individuals, society, and technology. Aragon’s group develops software tools that facilitate insights from vast and complex data sets, employing techniques from visual analytics, data science, and ethnography to explore sociotechnical systems. Her earlier work was rooted in theoretical computer science, where she co-invented the treap and contributed to the evaluation of simulated annealing algorithms for combinatorial optimization problems. Aragon has received numerous accolades, including the Presidential Early Career Award for Scientists and Engineers and various awards recognizing her innovative teaching and research contributions. She is also a principal investigator for significant research grants from esteemed institutions such as the National Science Foundation and the Department of Energy, making impactful contributions to the field of human-centered AI and eScience.
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