Adjoint Assistant Professor
My research areas focus on the development of algorithms, pipelines, and tools for medical image analysis. Specifically, my research interests are related to multimodal neuroimaging (including processing, segmentation, statistical analysis, and scientific visualization). I have developed my expertise with the goal of better understanding neuroanatomy (primarily through brain connectivity), brain development, and pathologies relevant to clinical applications. During my graduate studies, I developed close collaborations with clinicians and neuroscientists and targeted my efforts to help them improve their technical skills and develop tools tailored to their needs.
I am particularly
interested in assessing algorithmic reproducibility, research replicability,
and open-source initiatives.