Wang Qi

Qi Wang, Ph.D., obtained his doctoral degree in Operations Research and Control Theory from the Academy of Mathematics and Systems Science, Chinese Academy of Sciences in 2021, under the supervision of Researcher Guiying Yan. His research focused on graph theory and its applications. From 2021 to 2023, he worked as a postdoctoral researcher (assistant researcher) at the Institute of Biophysics, Chinese Academy of Sciences, under the collaborative supervision of Researcher Ang Li, with his research directed towards intelligent medical imaging. In September 2023, he joined the Department of Applied Mathematics at the College of Sciences, China Agricultural University.

Currently, my focus lies in several interconnected research domains: graph theory and its applications, network biology, computational neuroscience, and deep learning.

In the realm of graph theory and its applications, my research primarily revolves around the design of algorithms for graphs and hypergraphs.

Within network biology, my focus is on deciphering and analyzing the synergistic effects of drug combinations and their side effects.

Computational neuroscience, particularly network neuroscience, has been my research emphasis in recent years. In this field, I am dedicated to developing models for graph computations, exploring from a complex systems perspective how different brain regions collaborate to support cognitive functions, based on large-scale functional and structural connectivity imaging data and corresponding behavioral phenotype data. This aids in early diagnosis of significant brain diseases and provides network structural interpretations.

In the field of deep learning, I have a special interest in graph neural networks. My work includes developing and enhancing graph neural network algorithmic frameworks for more efficient processing and analysis of graph-structured data.

Through these interdisciplinary studies, I aim to design graph algorithms to tackle complex problems in the real world, and I warmly welcome teachers and students interested in these areas to communicate with me.

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