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  • Center for Evaluation and Development (C4ED)
  • Frankfurt am Main, Germany
  • LinkedIn in/daniel-seussler
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danielseussler/README.md

Hi there 👋

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.

Pinned

  1. ssahealthriskfactors ssahealthriskfactors Public

    Replication files for my master's thesis. Component-wise boosting for identification of health risk factors.

    R

  2. docintegrity docintegrity Public

    A small python package for plagiarism checks in docx files.

    Python

  3. costmboost costmboost Public

    Cost-sensitive loss in the component-wise boosting framework.

    R

  4. mcw_multilayernetworks mcw_multilayernetworks Public

    Forked from dennis-klein/arms-trade-networks

    R

  5. zindi-earlylearning-py zindi-earlylearning-py Public

    Replication files for the Zindi DataDrive2030 Early Learning Predictors Competition.

    Jupyter Notebook

  6. conformalbayes conformalbayes Public

    Conformal Bayesian Computation with Stan and Numba.

    Python