Area of research
Artificial Intelligence · Molecular Biology
Research interest
Research interests include Advanced Graph Neural Networks, Single-cell and spatial transcriptomics, Neural Networks and Applications, and Cell Image Analysis Techniques.
Unsupervised Test-Time Adaptation for Hepatic Steatosis Grading Using Ultrasound B-Mode Images.
Sustained IFN signaling is associated with delayed development of SARS-CoV-2-specific immunity.
Learnable Filters for Geometric Scattering Modules
Single-cell analysis reveals inflammatory interactions driving macular degeneration.
Comparison of Radiologists and Deep Learning for US Grading of Hepatic Steatosis.
Time-Inhomogeneous Diffusion Geometry and Topology
Gaining Biological Insights through Supervised Data Visualization
Multiscale PHATE identifies multimodal signatures of COVID-19.
Exploring the Geometry and Topology of Neural Network Loss Landscapes
Multi-view manifold learning of human brain state trajectories
Quantifying the effect of experimental perturbations at single-cell resolution.
Structural and developmental principles of neuropil assembly in C. elegans.
Genomic epidemiology and associated clinical outcomes of a SARS-CoV-2 outbreak in a general adult hospital in Quebec
Multiscale PHATE Exploration of SARS-CoV-2 Data Reveals Multimodal Signatures of Disease
Uncovering axes of variation among single-cell cancer specimens.
Author Correction: Visualizing structure and transitions in high-dimensional biological data.
Visualizing structure and transitions in high-dimensional biological data.
Exploring single-cell data with deep multitasking neural networks.
Quantifying the effect of experimental perturbations at single-cell resolution