Carl Kingsford
Academic Editor

Carl Kingsford


Associate Professor, Computational Biology Department, School of Computer Science, Carnegie Mellon University, and Co-Associate Director, Joint CMU-Pitt Ph.D. Program in Computational Biology. Recipient of the Moore Investigators in Data-Driven Discovery award.

Bioinformatics Computational Biology

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Work details

Associate Professor

Carnegie Mellon University
We are interested in designing graph and optimization algorithms to extract insight from biological data. In particular, we focus on the following classes of problems: 1) Genomics & genome assembly: RNA-seq expression quantification; genome assembly; large-scale sequence search, etc. This work is currently supported by a Data-Driven Invesgator grant from the Gordon and Betty Moore Foundation. It was previously supported by NIH grant 1R21HG006913, and NSF grant CCF-1319998. 2) Chromatin structure and function: Algorithms for determining the spatial organization of eukaryotic genomes from Chromosome Conformation Capture data. Supported by NIH grant R01HG007104. 3) Protein interactions and networks: Evolution of interactions; protein function prediction; clustering within networks; protein structure prediction. This work was supported by NSF grant EF-0849899 and by NSF grant CCF-1053918/CCF-1256087 (CAREER award).


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