Assistant Professor of Biostatistics
Dornsife School of Public Health
Drexel University
Grant Funding
Statistical methods for complex spatial,
spatiotemporal, and geometric data.
My research develops statistical methodology at the intersection of spatial statistics, Gaussian processes, statistical computing, and geometric data analysis.
Research
My research develops statistical methodology for complex structured data, with emphasis on spatial and spatiotemporal processes, differential inference, scalable computation, and non-Euclidean domains.
Spatial Derivatives & Boundaries
Methods for inference on gradients, directional change, boundaries, wombling, and curvature.
Statistics on Manifolds
Gaussian processes and differential inference over complex geometric domains.
Scalable Spatial Computation
Computational methods for complex Bayesian spatial and spatiotemporal models.