Projects

Filling the Meteorological Desert: Calibrated Low-cost Sensors Map Neighborhood Heat in Baltimore

Low-cost sensors, Calibration

A Unified Bayesian Approach to Overcome Spatial Confounding

Spatial statistics, Causal inference

Bayesian Spanning Tree-based Multivariate Spatial Model

Spanning tree, Multivariate, Spatial statistics

Use of multi-pollutant air sensor data and geometric non-negative matrix factorization for source apportionment of air pollution burden in Curtis Bay, Baltimore, USA

Non-negative matrix factorization, Source apportionment, Identifiability

Baltimore Air Quality Dashboard

Spatial statistics, Heterogeneity, Low-cost sensors

Identification in Source Apportionment Using Geometry

Non-negative matrix factorization, Source apportionment, Identifiability

Bag of DAGs: Inferring Directional Dependence in Spatiotemporal Processes

Spatial statistics, Nonstationarity

Spatial Predictions on Physically Constrained Domains: Applications to Arctic Sea Salinity Data

Spatial statistics, Nonstationarity

Bayesian Matrix Completion for Hypothesis Testing

Functional data analysis, Latent factor modeling