About casey
Machine Learning/ Computer Vision Engineer
Key Skills
Experience
Machine Learning Engineer
CurrentExpedition Technology
Graduate Teaching Assistant
Duke University
* Class Title: Modern Neuroscience Tools * Held office hours, guest lectured, designed assignments, and led lab sessions on topics covering electrophysiology, optics, calcium imaging, and image/signal processing * Awarded Outstanding Teaching Assistant for the BME Department in Fall 2021
Doctoral Student
Duke University
* Dissertation: Neural network approaches for cortical circuit dissection and calcium imaging data analysis * Developed a deep learning pipeline to predict underlying neural activity using spatiotemporal information from fluorescence videos that improved detection of low signal-to-noise events * Designed and built a semi-supervised pipeline for neuron segmentation that used 1/4 as many ground truth labels as fully supervised methods while maintaining accuracy on par with human labeling * Created a spiking model of the visual cortex that replicated diverse properties of various cell types found in vivo * Applied graph theory and machine learning to identify properties of optimal pattern completion neurons
Education
Duke University
Doctor Of Philosophy
Duke University
Doctor Of Philosophy
University Of Virginia
Bachelors
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Common Questions
What is casey's expertise?
casey specializes in Machine Learning Engineer, with expertise in calcium imaging, computational modeling, computer vision, confocal microscopy, data analysis.
Where is casey located?
casey is based in reston, virginia, united states.
How much experience does casey have?
casey has 11+ years of professional experience.
How can I contact casey?
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