Julian Heiss is a non-resident fellow at the Global Public Policy Institute (GPPi) in Berlin and he is currently continuing his studies at Columbia University. Previously, he was a research associate with GPPi, where he contributed to the institute’s work on foresight and forecasting. His research focuses on the use of foresight and forecasting methods for violence and crisis prevention.
Prior to joining GPPi, Julian worked as data scientist at the political consultancy Bernstein Group in Berlin, where he led the development of new analytics tools. His other professional experiences include researching the use of AI in the fields of climate policy and policy analysis at the Hertie School as well as working on analysis and forecasting of financial data as data scientist at the turnaround consultancy FTI-Andersch. He also interned in the German Council on Foreign Relations’ Technology and Global Affairs program.
Julian holds a master’s degree in physics from Heidelberg University and is pursuing a dual master’s degree in international affairs at both the Hertie School of Governance and Columbia University.