Hi, I'm Daniel, a researcher and data scientist focused on applications in global public health and development policy.
My interests lie in modern Bayesian statistics and machine learning for epidemiological research and public program evaluation, with a focus on causal inference and leveraging disparate data sources, especially in developing countries.
I earned a master's degree in statistics from the University of Munich after completing a bachelor's degree in mathematics with a minor in economics, also at the University of Munich. Prior to joining C4ED, a global research non-profit focused on impact evaluation projects, I worked as a research assistant and interned at UNDP and in the private sector.
I'm a German-Colombian dual citizen and currently based in Islamabad, Pakistan and Frankfurt am Main, Germany.
If you'd like to chat about research, don't hesitate to get in touch!
You can find me on LinkedIn or write me at dseussler at outlook dot com.