Education
Harvard University, 2009, PhD (Statistics)
Harvard University, 2005, AM (Statistics)
Wesleyan University, 2000, BA (Computer Science)
Research Interests
- Statistical and computational methods for bioinformatics applications
- Statistical modeling for genome sequence analysis
- Frequentist, Bayesian, and Dempster-Shafer statistical modeling frameworks
- The interface between computer science, statistics, and molecular biology, such as development of new informatics methods in genomics and post-genomics
Teaching and Mentoring Interests
- Workshops and courses on statistics, sieve analysis, and profile HMMs
- Proactive students with strong computational and/or statistical skills and a desire to work in an applied bioinformatics setting
Current Studies
- Sieve analysis of HIV vaccine trials
- Methods for parameter estimation of profile hidden Markov models of genomic sequence families
- Nonparametric Dempster-Shafer models
- Dilution assay copy number identification