My interests in computer science lie mostly in its intersection with biology, in the field of bioinformatics.
More specifically, I am fascinated with Next-Generation Sequencing,
and the future of massivly-parallel DNA sequencing.
During my time as an undergrad and now graduate student, I've been part (and continue to be a major part)
of several research projects. These include, but are not limited to, those seen below.
My current research project involves mapping short DNA fragments to a reference
genome. The key to this research is converting DNA sequences into a point
in metric space, and then constructing an intelligent database (we use a modified MVP tree, which is an adaptation
of the k
-d tree) to reduce the overall search time. While not as fast as
some of the current DNA mappers, we hope that our exact search
be able to shed light on some datasets that have relatively poor mapping percentages.
I spent some time working with the Gutell Lab
on a progressive
RNA folding algorithm. It's still in the development stage, but it's looking like it will be a
significant improvement over current algorithms (which perform quite poorly). I'm hoping to be
able to translate some of this information to the RNA-Seq
problem, which is fast becoming one of the more important problems in next-generation sequencing
and drug discovery.
My undergraduate research project was the development of GNUMAP, a program
used to find the best alignment for short DNA sequences on a reference genome.
This research was used to spur one first-author peer-reviewed journal paper,
two conference papers, and several presentations. The webpage for this project
(including download instructions, etc), is here