I am a Bioengineering doctoral student in the HHMI/NIBIB Interfaces program, researching statistical representations of high-dimensional neuroimaging data and multimodality data integration. In particular, my research focuses on novel methods to incorporate functional and structural imaging modalities to construct biologically interpretable and statistically accurate multivariate models of the brain. Because multivariate models more accurately reflect the brain’s organization than univariate models, they have the potential to increase power in observational studies and provide greater insight into how different aspects of the brain integrate into a cohesive whole.
- Designed method to construct structural cortical graphs in a manner similar to BOLD-based functional connectivity graphs (paper, poster at MICCAI 2014).
- I devised a method to correct perfusion images for structural confounds (paper in NeuroImage).
- I lead the ANTs efforts for perfusion analysis.
- I am a core member in the ANTsR development team.
- Sparse analysis of brain images.
- Ph.D. in Bioengineering, University of Pennsylvania, 2010-present. HHMI-NIBIB Interfaces Scholar, Department of Defense NDSEG Fellow.
- B.A. in Physics (minors in Mathematics and Chemistry), Yeshiva University, 2010.
Google Scholar page.