Researcher

Jakob Runge

PCMCI+ models lagged and contemporaneous dependencies, and Runge and Andreas Gerhardus shared a 2020 study on autocorrelated series with hidden confounders. The methods have defined modeling assumptions. A Berlin research branch has received support from an ERC Starting Grant since 2021. Runge received the 2022 DLR Science Award, and Tigramite is a package for causal-inference analysis. Runge’s group has been based at Potsdam’s chair of AI in the Sciences since March 2025. Its research joins causal theory, time-series methods and accessible software.

Works
190
Citations
5,763
h-index
33

Publication numbers from OpenAlex, as of 14 October 2026.

Photo of Jakob Runge

Timeline

  1. 2020

    Causal discovery in time series

    PCMCI+ models lagged and contemporaneous dependencies, and Runge and Andreas Gerhardus shared a 2020 study on autocorrelated series with hidden confounders. The methods have defined modeling assumptions.

  2. 2021–2022

    Research and software

    A Berlin research branch has received support from an ERC Starting Grant since 2021. Runge received the 2022 DLR Science Award, and Tigramite is a package for causal-inference analysis.

  3. 2025

    AI in the sciences

    Runge’s group has been based at Potsdam’s chair of AI in the Sciences since March 2025. Its research joins causal theory, time-series methods and accessible software.

Sources and credits

Photo: ELLIS profile; creator not stated. License: Not stated by source. Source: ellis.eu. Cropped to a square and resized. Ask us to remove or replace this photo.

  1. Causal Inference Lab causalinferencelab.com. Checked 13 October 2026.