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Data Science Research @ Brown

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

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Homomorphic Encryption

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Predictive Healthcare Analytics

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Social and Family History - Extraction, Representation, and Evaluation

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

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Linking Multiple Datasets Without Unique Identifiers

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Network Reconstruction

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Automated Leaf Classification

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The Murchison Widefield Array (MWA)

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Brain Networks: Inferring Cortical Microcircuitry with Electrophysiology

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Learning to Discover Particles in the Early Universe

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Identification of Phytotherapies

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

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Rapid Analysis and Visualization of Output from Topic Models

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

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Random Graphs

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Brain Networks: Inferring Cortical Microcircuitry with Electrophysiology

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Automating Pathology with Deep Learning

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BIGDATA: Analytical Approaches to Massive Data Analysis

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