Daniel A. Charlebois.
PhD, PPhys
Associate Professor, Department of Physics, University of Alberta
20+ years of experience in antimicrobial resistance, biophysics, and quantitative biology.
BioSciAI Inc. is a University of Alberta startup company engineering an AI-powered, point-of-care testing (POCT) device for rapid, accurate fungal infection diagnosis. Our technology aims to deliver species-level identification, including the deadly, multidrug-resistant C. auris, with greater than 90% accuracy in under an hour, right at the patient's bedside.
A research-led founding team with deep expertise across biophysics, medical mycology, and machine learning.
PhD, PPhys
Associate Professor, Department of Physics, University of Alberta
20+ years of experience in antimicrobial resistance, biophysics, and quantitative biology.
PhD
Research Associate, Department of Physics · Adjunct Professor, Biomedical Engineering, University of Alberta
15+ years of experience in medical microbiology/mycology and 4+ years of experience applying AI/machine learning to fungal disease diagnostics.
PhD, D(ABMM), FCCM
Clinical Microbiologist at Alberta Precision Laboratories - Public Health Lab and Clinical Associate Professor, University of Calgary
MD, PhD
Associate Professor of Medicine (Division of Infectious Diseases), Duke University
CPA, CA
Director of Resource Planning, University of Alberta
PhD
Professor of Electrical and Computer Engineering, University of Alberta
MD
Regional Chief Medical Information Officer at Lumeo Health and Associate Professor at Queen's University
BioSciAI is a University of Alberta startup company pioneering a new era in fungal diagnostics using artificial intelligence. Our founding team holds appointments in the Department of Physics, with an adjunct appointment in Biomedical Engineering.
We're building a small, strong team and a short, fast partner list.