Dr. Daniel Greene has a Ph.D. from the Graduate School of Education at Stanford University. He works with Dr. Megan Palmer on strategies for risk governance in biotechnology. He uses computational social science methods to identify factors that influence the decisions of biology labs to engage in potentially risky research. Dr. Greene has previously worked with Prof. Carol Dweck to develop and test social-psychological interventions to improve student motivation at scale. His dissertation identified and influenced novel psychological constructs for motivating unemployed and underemployed adults to pursue job-skill training. His work has been supported by the Open Philanthropy Project, the Carnegie Foundation for the Advancement of Teaching, the Gates Foundation, the Stanford Digital Learning Forum, and an Amir Lopatin Fellowship.
Previously, Dr. Greene worked for five years as a data scientist and product developer at the Project for Education Research That Scales, a nonprofit that develops resources and infrastructure for disseminating best practices from education research. He holds a BA in Cognitive Science (Honors) from Rutgers University.