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Computational Social Science CSS
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Jason Fleischer

LPSOE

I use machine learning and statistical modeling to extract knowledge from complex datasets where it is difficult to directly measure the process of interest. Working in close conversation with domain experts and literature, I make computational models that provide insights and new ways to interpret experimental data. I apply this approach to (1) study the neural processes underlying episodic memory, working memory, and consciousness; (2) analyze relationships between human health, behavior, aging, and various biomarkers; and (3) investigate racial disparities in policing and the justice system.