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Data Science Research @ Brown

Measuring Group Differences in High-Dimensional Choices: Method and Application to Congressional Speech

Homomorphic Encryption

Predictive Healthcare Analytics

Social and Family History - Extraction, Representation, and Evaluation

Computational Psychiatry: Combining Theory-Driven and Data-Driven Approaches to Understand Impulsivity

Linking Multiple Datasets Without Unique Identifiers

Network Reconstruction

Automated Leaf Classification

The Murchison Widefield Array (MWA)

Brain Networks: Inferring Cortical Microcircuitry with Electrophysiology

Learning to Discover Particles in the Early Universe

Identification of Phytotherapies

Using Clustering Algorithms to Extract Differential Genetic Architectures Between Immunological and Metabolic Phenotypes From Gene-Level Association Statistics

Rapid Analysis and Visualization of Output from Topic Models

Large-Scale Network Modeling for Brain Dynamics: Statistical Learning and Optimization

Random Graphs

Brain Networks: Inferring Cortical Microcircuitry with Electrophysiology

Automating Pathology with Deep Learning

BIGDATA: Analytical Approaches to Massive Data Analysis