I completed my undergraduate degrees in Cognitive Science and Computing Science at Indiana University in 2014. I then began working as a PhD student with Dr. Michael N. Jones at IU in the Fall of 2018. My general interests in graduate school were decision making and evaluating computational models of human learning and memory, with particular emphasis on real-world applications of cognitive models. In my final year as a graduate student, I worked as a graduate intern at the National Renewable Energy Lab (NREL) where I leveraged my background as a cognitive scientist to develop neurosymbolic AI algorithms for information extraction and rule discovery for building control systems.
I have since graduated with a PhD in Cognitive Science and Psychology and am now working as an AI Research Scientist at the Johns Hopkins University Applied Physics Laboratory where I study advancements in reinforcement learning and human-machine teaming.
Please visit my Github account to view the distributional semantic models and cognitive models I use in my research.
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