I am a graduate from the Biomedical Informatics PhD program at Stanford University where I was advised by Serafim Batzoglou in the Computer Science Department. I primarily researched methods for population genetics analysis. Specifically, I worked on accurate methods for identifying ancestry and relatedness from DNA data.

Contact: jesserod at cs dot stanford dot edu

Projects

Local ancestry inference

ALLOY is a fast and accurate method for local ancestry inference, which is the problem of labeling each position of the genome with an ancestral origin.

IBD inference

We have developed PARENTE and PARENTE2, fast and accurate methods for detecting IBD in increasingly large cohorts.

Publications

Posters

  • Automatic detection of metastatic cancer cells in the blood.
    Jesse M. Rodriguez, A. Powell, S. Jeffrey, S. Batzoglou, and D. Paik.
    ISMB, 2010.
  • GEDI: A sensitive method for detecting insertions and deletions with paired-end sequencing.
    Jesse M. Rodriguez, S. Kyriazopoulou-Panagiotopoulou, S. D. Guo, D. E. Newburger, and S. Batzoglou.
    RECOMB, 2010. Presented by S. Kyriazopoulou-Panagiotopoulou.
  • Does Trypsin Cut Before Proline?
    Jesse M. Rodriguez, N. Gupta, and P. A. Pevzner.
    55th ASMS Conference on Mass Spectrometry, 2007.
  • Evidence for siRNA silencing as a mode of regulation of cis-antisense overlapping genes.
    Jesse M. Rodriguez and J. Kuhn.
    Algorithmic Biology Conference, 2006.
  • Bioinformatics and Microarray Analysis of Hormone Responses in Arabidopsis.
    Jesse M. Rodriguez.
    Nineteenth Annual UCSD Undergraduate Research Conference, 2006.

Education