Alexandria Bond is a postdoctoral researcher at Yale with 11 years of experience combining neuroimaging, behavioral kinematics, eye-tracking, and computational modeling to advance precision psychiatry and understand naturalistic learning and decision-making. She builds and validates hybrid models—Bayesian-RL-drift-diffusion systems and neural network simulations—that predict trial-by-trial behavior and neural dynamics with high cross-validated accuracy, and has translated findings across humans and animal models. A seasoned educator and consultant, she designed a graduate course on cognitive neuroscience methods at Carnegie Mellon and leads data-driven DEI and mentorship policy initiatives that resulted in tangible institutional change. Equally comfortable in the lab coding custom experiments and in policy rooms advocating for student health, she brings both technical depth and pragmatic impact to translational neurotechnology. Outside work she’s an avid cyclist and runner, reflecting a consistent habit of iterative, disciplined practice that mirrors her research approach.
11 years of coding experience
10 years of employment as a software developer
Bachelor of Science (BS), Psychobiology, Bachelor of Science (BS), Psychobiology at University of Alabama in Huntsville
Doctor of Philosophy (PhD), Cognitive Neuroscience, 4.0, Doctor of Philosophy (PhD), Cognitive Neuroscience, 4.0 at Carnegie Mellon University
BG network responses to conflict and volatility + perceptual learning of hierarchical classes.
Contributions:456 commits, 26 pushes in 2 years 7 months
hierarchicalvolatilityperceptual
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Alexandria Bond - Postdoctoral Researcher at Freelance