Research
Interests
My efforts mainly concern mathematical pathology,
meaning I am interested in using mathematical and computational methods to
construct models of disease that go beyond the classical top-down clinical definitions.
I am currently involved in:
 using
novel graph theoretic methods to analyze biological networks. I have created
a gene/protein “lethality” ranking algorithm called TopoRank.
analyzing
brain MRIs using graph theoretic measures via algorithms that I have
developed.
creating
novel machine learning algorithms for the detection of non-linear
correlations between proteins and mRNA features for several cancers and
neurological disorders including Alzheimer’s disease.
developing
methods for in-silico drug design.
the
development of algorithms for the integration of multiple data types for the
construction of biomarkers for several diseases. One of these algorithms that have been
developed is called Butterfly and based on discrete dynamical systems.
Please see my Queen’s University page
for details including my:
Publications, work in progress and current position @ OCBN
Contact info
Educational background
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