Kyle Ambert is lead data scientist at Intel’s Artificial Intelligence and Analytics Solutions group, where he uses machine learning and statistical methods to solve real-world big data problems. Currently, his research centers around novel applications of machine learning in the health and life sciences. Kyle contributes to the data science direction of the Trusted Analytics Platform, particularly as it pertains to analytical pipeline and algorithm development. He holds a BA in biological psychology from Wheaton College and a PhD in biomedical informatics from Oregon Health & Science University, where his research focused on text analytics and developing machine-learning optimization solutions for biocuration workflows in the neurosciences.
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