Daniel Schiff graduated from MSSP in 2013. He is currently pursuing a PhD from the Georgia Institute of Technology, studying the implications of artificial intelligence for social policy – education, labor, welfare, and inequality. Previously, Daniel served as the Director of Research, Evaluation, and Planning for the Philadelphia Education Fund. His work emphasized school- and district-level policy and program strategies for urban contexts. In particular, Daniel’s research and policy efforts focused on teaching and learning, dropout prevention, college and career readiness, and science, technology, engineering, and math (STEM). He studied philosophy of artificial intelligence at Princeton University before completing his graduate work at the University of Pennsylvania on education policy and research.
“Participating in the MSSP program afforded me the opportunity to learn from and with exceptionally talented and passionate individuals with a wide array of background interests and experiences. Through learning about social policy, qualitative and quantitative research methods, communications, applied linear modeling, and program evaluation from MSSP faculty, I was able to develop a pragmatic yet intellectually robust skill set as well as a network of colleagues and mentors. The flexibility and depth of the program was formative for my understanding of policy and provided me a set of tools to confidently address a range of challenges that exist in the policy and non-profit worlds.”