Qingyi Feng

Dr. Qingyi Feng is a Researcher at Utrecht University's Faculty of Science, serving as External Cooperation Coordinator and Grant Officer for the Department of Physics. With a PhD in Climate Dynamics (2015) and interdisciplinary expertise spanning complex systems, machine learning, and network analysis, they coordinate the Centre for Complex Systems Studies (CCSS) while supporting researchers in securing funding.

• PhD: Climate Dynamics, Utrecht University (2015)
• MSc: Cognition & Complex Systems, École Polytechnique (2012); Complex Systems Science, University of Warwick (2011)
• Undergraduate: Environmental Science, Tianjin University (2008)

Research integrates complex systems science across disciplines: climate dynamics (Atlantic MOC collapse, El Niño prediction), healthcare (depression pattern identification), and socio-environmental systems. Their work applies network theory and machine learning to analyze multi-scale interactions in ecosystems, economies, and climate systems.

Key trends in publications (2013-2018) reveal methodological advancements in climate network analysis, early warning signal detection, and cross-disciplinary tools like the pyunicorn software package. Awards include the Kiem Award (2013) and Erasmus Mundus Scholarship (2010).

As a multilingual coordinator (English C2, Chinese native, Dutch B1, French A1), Dr. Feng facilitates international collaborations and workshops while maintaining technical proficiency in Python, C, Fortran, and NetLogo. Their global experience across 6 countries enhances cross-cultural project management capabilities.