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Samuel Thorpe
Senior Data Scientist at Koneksa Health
Samuel Thorpe is a highly skilled Data Scientist with a background in Medical and Biotech fields, showcasing a particular interest in neuroscience.
He excels in handling large datasets, specializing in physiological time series and digital biomarkers.
His data science expertise includes Data Wrangling, Exploration and Visualization, Regression, Statistical Inference, Classification, Clustering, Validation, Matrix factorization, and Signal Processing.
Samuel is proficient in scientific Python stack, Matlab, and Linux/Unix.
His educational background includes a PhD in Mathematical Behavioral Science, Data Science certification, and bachelor's degrees in Mathematics and Psychology.
He has held positions such as Senior Data Scientist at Koneksa and NovaSignal, and has also been a Data Incubator Scholar and a Postdoctoral Researcher at the University of Maryland.
His experience includes work in the UCI Human Neuroscience Laboratory at UC Irvine.
