Experience

Qu Biologics Inc.

• Canada
• Biotechnology Research
• 1 - 100 Employee

• Data Scientist

  • Apr 2023 - Present

  Burnaby, British Columbia, Canada



The University of British Columbia

• Canada
• Higher Education
• 700 & Above Employee

• Bioinformatician (Postdoctoral Research Fellow)

  • Aug 2019 - Apr 2023

  Vancouver, Canada Cannabis: This research aims to generate a Cannabis pan-genome composed of 12 novel high-quality, haplotype resolved, chromosome-scale genome assemblies, which is part of a Genome Canada-funded project to understand powdery mildew resistance and accelerate cannabis breeding. In this research, I use a combination of high-coverage PacBio HiFi reads, chromosome conformation capture (Hi-C), and genetic maps to produce two complete haplotypes for each genotype (24 genomes in total). The… Show more Cannabis: This research aims to generate a Cannabis pan-genome composed of 12 novel high-quality, haplotype resolved, chromosome-scale genome assemblies, which is part of a Genome Canada-funded project to understand powdery mildew resistance and accelerate cannabis breeding. In this research, I use a combination of high-coverage PacBio HiFi reads, chromosome conformation capture (Hi-C), and genetic maps to produce two complete haplotypes for each genotype (24 genomes in total). The genomes I have developed are significantly better quality than those currently available for Cannabis, so my work represents an important advance for the Cannabis research and breeding communities. Sunflower: My primary role is to answer evolutionary and plant breeding questions using a combination of statistical models, population genetics tools, and NGS data sets. I employ a large-scale sequencing data set from wild and cultivar sunflower germplasm, several genome assemblies, and transcriptome data sets for these researches. This project, along with intellectual resources in the Rieseberg lab, allowed me to acquire new population genomic, statistical, and computational skills and to deploy this skill set to recognize biologically interesting patterns and discover their evolutionary meaning.

• Bioinformatician (Research Assistant)

  • Oct 2015 - Jul 2019

  Vancouver, British Columbia, Canada



University of Calgary

• Canada
• Higher Education
• 700 & Above Employee

• Bioinformatician (Postdoctoral Research Fellow)

  • Nov 2019 - Aug 2020

  Alberta, Canada Developing statistical models and algorithms to answer convergent evolution questions using 1800 wild sunflowers WGS data set. The main research questions can be categorized as follow: -The pattern of convergent and non-convergent adaptation among sunflower species; -The impact of selection, environment, and genome architecture on the patterns of adaptive evolution at the whole-genome level; -To identify the amount of genotypic redundancy underlying a trait… Show more Developing statistical models and algorithms to answer convergent evolution questions using 1800 wild sunflowers WGS data set. The main research questions can be categorized as follow: -The pattern of convergent and non-convergent adaptation among sunflower species; -The impact of selection, environment, and genome architecture on the patterns of adaptive evolution at the whole-genome level; -To identify the amount of genotypic redundancy underlying a trait adaptation; -The impact of recombination rate on detection of convergence signature; -To identify convergent islands based on genetic distance and linkage disequilibrium Show less