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I'm a consultant/machine learning researcher/data scientist at Booz Allen Hamilton. In 2014 I got my doctorate in Computer Science from the University of Maryland, where I focused on the field of biologically-inspired AI. My dissertation was on executive function and cognitive control (working memory, decision making, etc.) using neural-inspired systems rather than rule-based ones — essentially trying to get computers to act in ways that are a little more like our brains and also get artificial neural networks to act a little more like traditional computers.
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IEEE Data Eng. Bull.no. 4 (2021): 74-84
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PROCEEDINGS OF THE 2018 AAAI/ACM CONFERENCE ON AI, ETHICS, AND SOCIETY (AIES'18) (2017): 243-250
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