Biography

   Chris Ding started in Theoretical Physics at Columbia University, help building a parallel computer; this work was featured as a cover story of SCIENCE. Continued parallel computing research at California Institute of Technology; one research results there was praised and explained in a commentary article by NATURE editor-in-Chief John Maddox.

   At Lawrence Berkeley Lab, he and collaborators proved that PageRank is essentially a ranking by in-degree (sum of websites linking to it).  Proposed/invented in 2006 the L21 norm that is widely used in artificial intelligence, machine learning, computer vision, computational biology. Designed the minimum redundancy maximum relevance  feature selection algorithm that is widely adopted, e.g., by Uber and other tech companies. One related paper has been cited 8600 times.

   Their analysis on principal component analysis and nonegative matrix factorization reveal/demonstrate that data clustering and data reduction are intimately related -- two different manifestations of the same underlying mathematical model.

   He has published over 200 research papers which have been cited over 50,000 times.

In a list of the 2020 world top 2% scientists (created by Stanford University), Chris Ding is ranked 7266 ( top 0.1% of  7 million scientists in 176 disciplines/areas ). In his areas of expertise, his world ranking is 133. .

Research
At Lawrence Berkeley Lab, we proved that Google's PageRank is essentially identical to ranking by in-degree (the number of webpages pointing to the website). We proposed in 2006 the L12 norm which is widely used in artificial intelligence, machine learning, computer vision, computational biology.

Awards and honors
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Publications