Qiang Du

As a faculty affiliate of the Data Science Institute, he was also a co-chair of the Center for Foundation of Data Science (2018-2019) and a co-chair of the Center of Computing Systems for Data-Driven Science (2019-).  He leads the Computational Mathematics and Multiscale Modeling (CM3) group at Columbia. CM3 conducts research at the interface of mathematical, computational and data sciences through partnerships with experts from different fields. The work produced by the CM3 group often reflects integrated efforts that involve the creation of mathematical concepts, the derivation of effective models, the development of robust and scalable computational methods,  large-scale numerical simulations on powerful supercomputers, and scientific leanring, as well as applications in diverse scientific and engineering disciplines.

Over the years, Qiang Du has developed mathematical models and computational algorithms for various complex and multiscale systems that include examples like quantized vortex states in superconductors and BECs, deformation of biological membranes,  critical nucleation and microstructure evolutions in materials phase transformation, and anomalous diffusion in heterogeneous environments. Recognition for Qiang Du’s work includes the Feng Kang Prize in scientific computing (2005), the Eberly College of Science Medal (2007), SIAM (Society of Industrial and Applied Mathematics) Outstanding Paper prize (2016), ACM Gordon Bell Prize finalist (2016), SIAM Review SIGEST Award (2020), and US Association of Computational Mechanics Thomas J.R. Hughes Medal (2021). An invited speaker of the International Congress of Mathematicians (ICM 2018), Prof. Du is also a Fellow of SIAM (Society of Industrial and Applied Mathematics),  AMS (American Mathematical Society), and AAAS (American Association for the Advancement of Science).

Qiang Du has provided services to various research organizations and professional societies. Currently, he is a founding Co-Editor-in-Chief of the Diamond-Open-Access journal Communications of the American Mathematical Society (2020-) and the Editor-in-Chief of SIAM Journal on Applied Mathematics (2021-).  He was elected as the Chair of the SIAM Activity Group on Mathematical Aspects of Materials Science (2014-2016). He also served as a representative to the U.S. National Committee on Theoretical and Applied Mechanics, the National Academies (2015-2019).

Research Areas

• Artificial Intelligence (AI) and Machine Learning (ML)
• Computational Science and Engineering
• Control Theory
• Approximation Theory
• Numerical Analysis
• Partial Differential Equations
• Probability and Statistics
• Computational (Mathematical) Biology
• Data Science
• Network Science
• Numerical Analysis
• Nonlinear and Random Media
• Computational Fluid Dynamics