Adrian Pelcaru

Adrian Pelcaru

PhD Student

Center Synergy of Systems (SynoSys)

Technische Universität Dresden (TUD)

Humboldt Universität zu Berlin
Philippstraße 13, 10115 Berlin

Robert Koch Institute

Adrian is currently pursuing his PhD at the Technical University of Dresden, following the completion of his Bachelor’s and Master’s degrees at Humboldt University Berlin. His research is centered around the field of causal inference in dynamic time series systems. Specifically, Adrian is dedicated to the task of disentangling causal linear relations from causal nonlinear relations within these systems. This distinction is crucial for accurately modeling and understanding complex time-dependent phenomena. The methods he is developing have wide-ranging applications across various domains. Adrian’s primary focus includes the analysis of time series data related to infectious diseases, where understanding the causal relationships can significantly impact public health interventions. Related to that is also the study of mobility patterns and environmental drivers in populations.

  • Causal Inference
  • Modeling of Epidemics
  • Mobility Networks
  • Non-linear time series
  • Empirical Dynamic Modeling
  • Bachelor's Degree Biology

    Humboldt University Berlin

  • Master's Degree Biophysics

    Humboldt University Berlin / Robert-Koch Institute

  • PhD

    Technical University of Dresden / SynoSys