Alex Davis is an Associate Professor in the Department of Engineering and Public Policy at Carnegie Mellon University. His research is at the intersection of behavioral science, technology, and public policy, with diverse applications to health, energy, climate change, the environment, and innovation. Specific recent work focuses on integrating expert judgment with machine learning to solve challenging technical problems, eliciting individual and group preferences, and using risk analysis, communication, and digital health to improve perinatal outcomes for pregnant individuals. He teaches graduate courses in applied data analysis (19-704) and stochastic discrete choice models (19-786). Alex earned his B.S. from Northern Arizona University in Psychology (2007) and his M.S. (2009) and Ph.D. (2012) from Carnegie Mellon University in Behavioral Decision Research. He worked as a postdoctoral fellow and research scientist at Carnegie Mellon University prior to joining the faculty at Carnegie Mellon.