Charlebois, Daniel

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Keywords:

Biophysics, Mathematical Biology, Antimicrobial Resistance, Bioelectromagnetics, Synthetic Biology, Gene Regulatory Network, Non-Genetic Heterogeneity

My research program combines biophysics with synthetic biology to study genetic networks, drug resistance, and bioelectromagnetism. The Charlebois research group develops mathematical models and performs computer simulations, designs and builds electromagnetic devices, and conducts experiments on genetically engineered and pathogenic yeasts. Recently, we have begun using deep learning algorithms (ConvNets/CNNs) to quicky and accurately identify species of pathogenic yeast isolated from patient samples. This research is advancing our fundamental understanding of life and aims to improve treatments for patients with drug-resistant infections. I am also an Adjunct Professor in the Department of Biological Sciences and an Affiliate Faculty Member of the Collaborative Mathematical Biology Group. Please visit the Charlebois Lab website for more details.

AI4Society Funded Projects

Machine Learning to Rapidly Detect Drug-Resistant Human Fungal Pathogens (C-DHLTH5)

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Charlebois, Daniel

From AI4Society Forum

Charlebois, Daniel

Profile

AI4Society Funded Projects

Research explores how fungi become drug-resistant | Physics

Solutions are built on basic science | Faculty of Science

Nutrition researcher receives new funding to find out why diet affects immunity | Folio

Four Faculty of Science researchers receive funding for state-of-the-art research tools | Faculty of Science

Students convert physics lessons to practical use with undergraduate research projects | Physics

Biophysicist launches drug resistance research program | Physics

Convocation Congrats! June 8: Engineering, Pharmacy

Convocation Congrats! June 13: Faculties of Agricultural, Life and Environmental Sciences and Nursing