معرفی
Jay Newby is an Associate Professor in the Department of Mathematical & Statistical Sciences at the University of Alberta, Faculty of Science. His research focuses on developing stochastic models of molecular motion, biomechanics, and chemistry at micron scales, particularly in cellular and extracellular environments. He holds a PhD in Mathematics from the University of Utah (2010) and has held positions at institutions including the University of Oxford and the University of North Carolina at Chapel Hill before joining the University of Alberta in 2018.
His work bridges mathematical biology, biophysics, and computational science, with applications in understanding cellular processes such as molecular transport, phase separation in biomolecular condensates, and the mechanics of mucus barriers. He has received awards including the NSERC Discovery Accelerator Supplement and the UAlberta Outstanding Mentorship in Undergraduate Research (2022).
Newby has supervised numerous students and postdocs, contributing to over 50 peer-reviewed publications. His grants include funding for projects like 'Dissecting Animal Morphogenesis as Active Liquid Crystals' and 'Automated Particle Tracking and Stochastic Modeling of Molecular Motion.' He also co-founded AI-Tracking Solutions, focusing on machine learning for particle tracking in microscopy data.
