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Katharina Ring

Katharina Ring

PhD candidate in Biostatistics

Talente
MunichMitglied seit 24. September 2026
PythonFoundrySparkMachine LearningCausal InferenceStatistical ModellingPySpark
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PythonFoundrySparkMachine LearningCausal Inference

Über

Methodological research on causal inference with a focus on HIV medication data Publishing results on the positivity assumption especially for continuous treatments Development of R packages to implement and disseminate methodological research

Berufserfahrung

PhD in Biostatistics at LMU (2023-04 – Present)

  • Methodological research on causal inference with a focus on HIV medication data
  • Publishing results on the positivity assumption especially for continuous treatments
  • Development of R packages to implement and disseminate methodological research

Data Scientist at Allianz (2022-03 – 2023-03)

  • Translated business problems into tailored Machine Learning solutions
  • Developed spatial forecasting models for proactive partner network management
  • Communicated results through visualisations and interactive dashboards in Foundry

Statistical Modelling Intern at Allianz (2021-02 – 2021-05)

Modeling survival data using R package mlr3 in cooperation with medical experts

Statistical Research Intern at Lancaster University (2019-07 – 2019-09)

Examining changepoint detectability via simulation in python

Data Science Intern at IBM (2015-07 – 2015-09)

Predicting vehicle accidents in NYC using PySpark random forests and jupyter notebooks

Ausbildung

M. Sc. in Data Science (Elite Program) – LMU (2018-10 – 2022-02)

B. Sc. in Computer Science – LMU (2018-10 – 2022-02)

B. Sc. in Statistics – LMU (2015-10 – 2018-09)

Semester Abroad – University of Glasgow (2016-10 – 2018-09)

Certificate Program in Environmental Studies – LMU (2016-10 – 2018-09)

B. Sc. & M. Sc. in Business Administration – LMU (2012-10 – 2017-09)

Fähigkeiten

PhD candidate in Biostatistics

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