Adam is a Data Scientist at Critical Juncture where he has focused on implementing machine learning tools to increase the efficiency of software for healthcare and government. These projects include a Bayesian medical record linkage system providing clinical performance metrics regarding maternal mortality, and a convolutional neural network that classifies images from the digital archives of the Federal Register. Prior to that he was a researcher in Neurosurgery at the University of Iowa, where he first started using Python intensively to "morph" face/voice stimuli for neurophysiological studies. Adam received his PhD in Neuroscience studying face processing in macaques at the National Institutes of Health.
In recognition of his exemplary service in the classroom, Adam has been selected as a member of General Assembly's Distinguished Faculty program.
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