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Christopher Michael Hill

Address: Biomolecular Sciences Building #296
3rd Floor, Lab 3104B
University of Maryland
College Park, MD 20742

Email:

About me

Fourth year Computer Science PhD student. I work with Mihai Pop at the Center for Bioinformatics and Computational Biology. For my c.v. click here.

Research Interests

I am currently interested in the field of high performance computing and its utilization in genome assembly and sequence clustering. The majority of the data I work on is Next Generation Sequencing (NGS), and in particular metagenomic data (looking at microbial populations).

Education
  • Ph.D. Computer Science
    University of Maryland, College Park - In progress.
  • B.S. Computer Science
    University of Maryland, College Park - May 2010.

Publications
  • De novo genome assembly regression testing
    Christopher Michael Hill, Sergey Koren, Daniel Sommer, Bryan Dzung Ta, Atif Memon, and Mihai Pop.In review.
  • Automated ensemble assembly and validation of microbial genomes
    Sergey Koren, Todd J. Treangen, Christopher Michael Hill, Mihai Pop, and Adam M. Phillippy. BMC Bioinformatics. In review.
  • De novo likelihood-based measures for comparing metagenomic assemblies
    Christopher Michael Hill, Irina Astrovskaya, Howard Huang, Sergey Koren, Todd Treangen, Atif Memon, and Mihai Pop. IEEE International Conference on Bioinformatics and Biomedicine (BIBM2013) In press.
  • De novo likelihood-based measures for comparing genome assemblies
    Mohammadreza Ghodsi, Christopher Michael Hill, Irina Astrovskaya, Henry Lin, Daniel Sommer, Sergey Koren, and Mihai Pop. BMC Research Notes. 2013.
  • K-mulus: Strategies for BLAST in the Cloud
    Christopher Michael Hill, Carl Albach, Sebastian Angel, and Mihai Pop. 10th International Conference on Parallel Processing and Applied Mathematics (PPAM2013). September 2013.
  • StAB Software Automated Build Testing in Bioinformatics
    Bryan Ta, Christopher Michael Hill, Michael Schatz, Dan Sommer, Atif Memon, and Mihai Pop. In submission.

Software Contributions

LAP is a de novo probabilistic measure of assembly quality which allows an objective comparison of multiple assemblies generated from a same set of reads.

DNACLUST is a tool for clustering millions of short DNA sequences.

K-mulus is a tool for performing distributed sequence queries using MapReduce.

Honors and Professional Societies
  • University of Maryland Presidential Scholarship (Full tuition)
  • Robert C. Byrd Honors Scholarship Program