Kaylee Hill is a Software Engineering Intern at Manifold, where she is working on innovative anomaly detection strategies for clinical trial data.  

Prior to Manifold, Kaylee was a Researcher for Cognitive Brains Minds and Machines at MIT, where she designed apps in MATLAB and used python scripts to support the use of advanced modeling, data analysis methods, and research datasets from neuroscience, cognitive science, and computer science research. Before that, she was a Researcher at Wellesley College, where she constructed a statistical model Two Way Repeated ANOVA to compare amplitudes in rats from particular brain regions.

Kaylee Hill is earning her BA in Computer Science and Computational Neuroscience from Wellesley College.