refill of liquid on tubes

Hi, I'm Cameron Debellefeuille

Explore my projects and career journey through this personal website

BSc (Hons.) Specialization - Biotechnology Queen's University

My Projects

Explore my work and the projects I'm working on

Epigenetics and Aging

With funding from the NSERC Undergraduate Student Research Award (USRA) and inspiration from the book lifespan, I developed a joint project with Dr. Chippindale and Dr. Aristizabal to explore how epigenetic remodeling influences aging in Drosophila. My work in the Aristizabal lab consisted of protein extractions, SDS-PAGE, immunostaining and western blotting to investigate histone modifications, while in the Chippindale lab, I carried out phenotypic analyses, including sex classification and assays measuring fitness, competition, desiccation resistance, development time, and longevity.

I published an abstract on this research in the Inquiry@Queen’s Research Conference Proceedings here

an artist's rendering of a red planet in spacean artist's rendering of a red planet in space
Synthetic Biology in Space Exploration

My team and I at QAB are embarking on a project to tackle one of the key challenges in space exploration and agriculture: perchlorate contamination. Specifically, we are focused on investigating the catalytic activity of chlorite dismutase variants and modeling de novo mutations to enhance perchlorate detoxification into oxygen and chlorine. These harmful salts could be crucial to the Mars colonization effort, and harnessing their properties could bring us one step closer to becoming a multiplanetary species.

Check out our project website

Relevant Course Projects
Predicting COVID-19 Status Using ML and Nasal Metabolome Data

BIOL 432: Introduction to Computation and Big Data in Biology
Grade: 97.6% | A+

In this project, I used gradient boosting, a supervised ensemble machine learning technique, to analyze nasal metabolome data and classify COVID-19 status. The model achieved 98% accuracy on test data, with LYSOC18.0 emerging as the most influential metabolite, showing significantly higher concentrations in COVID-19 patients (p = 1.83e-09). These findings suggest promise for non-invasive, metabolite-based diagnostics to support rapid and accurate COVID-19 detection.

Designing a urea-controlled kill switch for agricultural biocontrol

BCHM 320: Applications of Synthetic Biology
Grade: 91.5% | A+

In this project, I designed a plasmid for assembling our genetic construct, which incorporated the AlcR/AlcA system along with the CRISPR-Cas9 system (spCas9 and sgRNA). I used Benchling to design sgRNAs targeting exon 2 of the CLPR1 gene, aiming to induce apoptosis through gene knockout. To evaluate the effectiveness of the system, I conducted computational modeling of the sgRNA and spCas9 interactions using HADDOCK, which revealed favorable binding and confirmed the potential for successful gene editing.

Achievements

Dean's Honour List-Distinction

Awarded to students in the top 3% of all students within their degree program

NSERC Undergraduate Summer Research Award

$9,800 awarded based on academic excellence and research potential

$4,000 awarded to students with a high school average of 95%+

Queen's Principal's Scholarship

Prize-winning agar art created by Mason Wilson and I in our Fundamentals of Microbiology class.

“Nothing in life is to be feared, it is only to be understood. Now is the time to understand more, so that we may fear less.”

- Marie Curie

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a very tall building in the middle of a foggy sky
a very tall building in the middle of a foggy sky

I share what I learn each month in genetics, synthetic biology, and astrobiology as well as my professional and project management insights that I've learned through overcoming challenges in my projects and career