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 this part-time course, students learn to build robust predictive models, test their validity, and clearly communicate resulting insights.