Preeminent among my personal and professional goals and Aims is my passion and Vision regarding biomolecular knowledge. This life-long journey of discovery has evolved from my early fascination with and basic research in biochemistry, microbial genetics and molecular genetics through a deeper appreciation of the information encoded within our genomes, leading to a broader fascination with informatics.
I envision innovative, impactful solutions to scientific and societal issues through the application of science and technology to the betterment of human health.
I accomplish this through
the advancement of knowledge in genetics and functional genomics (the phenotypic and functional expression of the information contained within genomes), and
knowledge discovery, through natural language processing and machine learning approaches applied to the biomedical domain.
These efforts build on my thorough grounding in biochemistry (B.Sc.), environmental and occupational health and toxicology (M.Sc.), molecular genetics (Ph.D), and post-doctoral experience in molecular genetics/genomics, bioinformatics, natural language processing and machine learning.
I am especially motivated by information extraction, the construction of knowledge stores and graphical models, and the application of that knowledge to real-world problems including molecular biology, cellular signaling, cancer genomics, and personalized medicine.
The union of my core domains (biochemistry; genetics; genomics; programming; natural language processing; machine learning; bioinformatics) enables a better understanding of implicit and explicit relationships and interactions, facilitating translational knowledge discovery.
I envision, in part, the creation of virtual networks (pathways; perhaps cells/tissues/organs), amenable to in silico perturbations and interventions for assessing changes in
- cellular signaling
- cellular growth/death
in response to changes in
- mutations; genomic alterations
- epigenetic alterations
- biochemical entities
- cellular signalling pathways
- environmental conditions (stressors)
that (for example) guide
- personalized/and precision medicine (individualized susceptibilities; therapeutic interventions; …)
- basic research: augmentation of “wet lab” experiments, via identification/ ranking of genomic “variants-of-interest” (SNPs); …
- synthetic/in silico biology.