I am a PhD student of Computer Science Department
at Carnegie Mellon University
, and my advisor is Prof. Eric Xing
I received my M.Sc. in Computer Science
at the University of Toronto
under the supervision of Prof. Michael Brudno
and B.S. at
and Computer Science and Engineering
My areas of research are computational biology and machine learning.
More specifically, I am interested in developing models and algorithms that can
incorporate biological information into the inference of genome-wide association (GWA) mapping.
For example, one of my research directions is to use pathway data,
gene-gene interaction networks, gene ontology, trait networks, and genome annotations for boosting the power of
detecting trait-associated genetic variants.
I am also interested in developing scalable algorithms and systems that enable us to solve large-scale GWA mapping problems. One of my recent projects aims to solve the whole-genome regression
(i.e., an ultra high-dimensional regression problem that includes all
SNPs in human genome) under the control of false positives in a statistically sound manner.