ABOUT

Samuel Thorpe
Born and raised in California, I received my PhD in Mathematical Behavioral Science from the University of California at Irvine. My research there centered around analyzing EEG data from healthy adults as they performed cognitive tasks, particularly attention tasks. Currently, I am a post doc at the University of Maryland Child Development Lab where I work with everything from infant and monkey EEG to structural and functional MRI, studying the development of the brain. My work also employs the latest head and source modeling technologies, as well as computational modeling of cortical interactions. Having developed a large code repository for our lab, I've also had the chance to lead a team and train others, something I found I really enjoyed.
One thing I've learned about myself over the years is that I find data itself interesting, so I am currently expanding my range and playing with all sorts of projects. I'm having fun playing with machine learning and expanding my skillset to move towards a career in Data Science. There is nothing I love more than working with a room full of brilliant people, but I am also just enough of an introvert to want to close my office door and obsessively develop a project from end to end. Mainly, I am indefatigably curious. I find the world to be a profoundly interesting place to be.
SKILLS
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Mastery of Matlab programming for data analysis and visualization
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Fluency in Python
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Excellent signal processing (>10 years experience), including digital filtering, Fourier Analysis, wavelets, SVD, ICA.
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Extensive statistical modeling experience (regression, bootstrapping)
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Experience with machine learning techniques (classification & clustering problems)
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Experience with dynamical systems modeling (coupled differential equations)
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ï‚· Highly motivated and capable of acquiring new analytical skills
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Engaging written/oral communicator adept at public and in-house presentations
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Linux, Mac, Windows proficiency