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After performing some beautiful work in developing a new graph matching algorithm based on nonlinear machine learning of graph topologies, Jingtian Hu has graduated from UIUC MSE and will be …

Prof. Ferguson and Prof. R.E. Lee DeVille are awarded seed funding from the UIUC Initiative for Mathematical Sciences and Engineering to support their work on the nonlinear inference of protein …

Prof. Ferguson describes the coupling of machine learning tools and statistical thermodynamics theory to infer protein folding pathways and viral fitness landscapes.

Shao (MatSE junior) will be pursuing his UG thesis in the Ferguson Lab working on an experimental/computational collaboration with Prof. JJ Cheng on positively charged helical peptides.

Prof. Ferguson describes the coupling of machine learning tools and statistical thermodynamics theory to infer protein folding pathways and viral fitness landscapes.

Greg Hart (Physics; B.S., BYU Physics) joins the Ferguson Lab to pursue PhD research. Greg will be working on the development of data driven models of viral fitness, and their …

Jingtian (MatSE senior) and Peter (MatSE junior) will be pursuing their UG theses in the Ferguson Lab. Jingtian is working on a new nonlinear algorithm for graph matching, and Peter …

Andrew Long (MatSE; M.S., CMU) officially joins the Ferguson Laboratory to pursue PhD research. Andrew will be investigating the application of nonlinear machine learning to collective self-assembly phenomena.

Prof. Ferguson was selected to receive a conference scholarship to present his work on HIV viral fitness landscapes and computational immunogen design at AIDS Vaccine 2012, September 9-12 in Boston, …

Prof. Ferguson has become a faculty affiliate with the UIUC Computational Science and Engineering Program.