Thesis Defense

Physics-Inspired Deep Learning for Inverse Problems in MRI

Spatially precise in situ transcriptomics in intact tissues

Investigating The Fidelity Of Classic Cardiovascular Metrics In The Context Of A Failing And Mechanically Supported Heart

Metabolic and genetic factors guiding hematopoietic cell state transitions

Profiling Host Respiratory Responses to SARS-CoV-2 Infection

The Impact of Gamma Stimulation on Neurological Phenotypes of Alzheimer's Dementia and Down Syndrome

Design and Control of Mechanoneural Interfaces for Neuroprosthetic Limbs

Data-driven approaches for complex systems: leveraging machine learning, materials science, and manufacturing for new biomedical technologies

Improving Segmentation Pipelines for Medical Imaging using Deep Learning

Functional Genomic and Image-Based Screening Approaches for Probing Host-Pathogen Interactions