À¶Ý®ÊÓƵ

​Ìý

[Biology News] December 21, 2016 "À¶Ý®ÊÓƵ biologist part of a research collaboration creating new genetic toolbox"

[] November 8, 2015 "Genome Engineering. Should we do it? (Can we afford not to?)"

[] September 30, 2014 "Mining microbial metagenomes"

[]ÌýSeptember 19, 2013 "Mining metagenomes for bioplastics and other useful bioproducts"

[CBB researcher story]ÌýNovember 29,Ìý2012 "Breaking Ground in Open Resource Metagenomics"

[À¶Ý®ÊÓƵ Stories] May 3, 2013 "Can bacteria help create a cheaper fuel for our cars?"

[] August 14, 2013 "Engineering Life-enhancing research"

[WCMR] June 18, 2018, receives Thermo Fisher Scientific Award

[Daily Bulletin] June 1, 2018, 11 CBB Members Named Outstanding Performance Award Winners

[À¶Ý®ÊÓƵ Stories] January 26, 2018 "Scientists find new kind of botox"

Canada Research Chair in Environmental Microbiology []

[] October 23, 2015 "Piecing life togetherÌý- microbial diversity and function through meta-omic analyses"

[À¶Ý®ÊÓƵ Stories] April 12, 2016 "New tree of life may hold clues to cleaning up pollution"

Research Interests:

• Clinical trial design
• Contact lens performance
• Drug delivery
• Ocular biomaterials
• Proteins at interfaces

​

University Research Chair

Office of Research - Technology Transfer & Commercialization:

• Long-lasting Eye Drop Delivery Platform for Targeted Ocular Delivery Applications

Research Interests:

• Innate immunity of amphibians
• Regulation of innate immune cell development (macrophages, neutrophils) from progenitor cell populations
• Host-pathogen-environment interactions

Research Interests:

• Synthetic biology for sustainable development
• Functional probiotics for affordable and preventive health solutions
• Biomanufacturing
• Genetic tools exploring
• Bio-nanoparticles
• Bio-upcycling of mixed waste for sustainable development
• Dynamic regulation of bioprocess
• Biodegradation and Bioremediation

Research interests:

• Developing machine learning and statistical methods for genomics and proteomics data analysis using interpretable machine learning, reproducible (error-controlled) machine learning, and heterogeneous data integration
• Developing interpretation methods to find scientifically interesting and statistically confident hypotheses from complex biological data from single-cell genomics, mass spectrometry-based proteomics, and metagenomics

Ìý

Research Interests:

• Protein structure, functions, evolution (yeast, mammalian cell lines, plant-bacterial)

• Bioinformatics, systematics and proteinÌýevolution

• Protein structure and interaction modeling
• Protein expression pattern analysis
• Molecular genetics

Research Interests:

• Experimental biological physics
• StochasticÌýprocesses inÌýphysics andÌýbiology
• Pysiological constraints on bioproduct synthesis

Lab Equipment:ÌýImagestream MkII with 488nm, 642nm and 785nm lasers; 60x magnification

[] Winter School on Quantitative Systems Biology 2015