Audrey Durand

This study develops a predictive model of Arctic fox space use using tracking data and agent-based simulations, showing it accurately forecasts movement patterns based on habitat and ecological factors.

This paper develops a simulation platform, pySTED, to aid in creating AI-assisted super-resolution microscopy techniques by generating realistic data for training and testing AI models.

MICRA-Net is a weakly-supervised neural network that uses a simple classification task to perform segmentation, detection, and enumeration on microscopy images with limited annotated data.

This paper uses machine learning to predict osteoporotic fracture risk from genotypes, finding that genomic predictions outperform clinical risk factors in identifying fracture risk.