# overview
Research interests: Statistical network analysis, high-dimensional data analysis, machine learning, and applications to neuroimaging.

# keywords[]
1.1 Normal Biological Development And Functioning

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4.2 Evaluation Of Markers And Technologies

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4603 Computer Vision And Multimedia Computation

# educationAndTraining[].organization.label
Instituto Tecnologico Autonomo de Mexico - (Mexico City, Mexico)

# educationAndTraining[].organization.label
University of Michigan-Ann Arbor - (Ann Arbor, Michigan, United States)

# educationAndTraining[].organization.label
Instituto Tecnologico Autonomo de Mexico - (Mexico City, Mexico)

# publications[].label
Manifold Oblique Random Forests: Towards Closing the Gap on Convolutional Deep Networks

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Society for Industrial & Applied Mathematics (SIAM)

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Inference for Multiple Heterogeneous Networks with a Common Invariant Subspace.

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Joint Spectral Clustering in Multilayer Degree-Corrected Stochastic   Blockmodels

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Simultaneous prediction and community detection for networks with   application to neuroimaging

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Joint embedding: A scalable alignment to compare individuals in a connectivity space.

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Institute of Electrical and Electronics Engineers (IEEE)

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Multiple Network Embedding for Anomaly Detection in Time Series of Graphs

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The Importance of Being Correlated: Implications of Dependence in Joint Spectral Inference across Multiple Networks

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Random Forests for Adaptive Nearest Neighbor Estimation of Information-Theoretic Quantities

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Valid Two-Sample Graph Testing via Optimal Transport Procrustes and Multiscale Graph Correlation with Applications in Connectomics

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Graph matching between bipartite and unipartite networks: to collapse, or not to collapse, that is the question

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Learning Joint and Individual Structure in Network Data with Covariates

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Clustered Graph Matching for Label Recovery and Graph Classification

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Clustered Graph Matching for Label Recovery and Graph Classification

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

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Maximum Likelihood Estimation and Graph Matching in Errorfully Observed Networks

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Network classification with applications to brain connectomics

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Efficient Distributed Estimation of Inverse Covariance Matrices

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Graph Matching between Bipartite and Unipartite Networks: to Collapse, or not to Collapse, that is the Question.

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Efficient Distributed Estimation of Inverse Covariance Matrices

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Inference for multiple heterogeneous networks with a common invariant subspace

# publications[].label
Discovery of Multi-Level Network Differences Across Populations of Heterogeneous Connectomes

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Guiding and interpreting brain network classification with transcriptional data

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Overlapping Community Detection in Networks via Sparse Spectral Decomposition

# publications[].label
Valid two-sample graph testing via optimal transport Procrustes and multiscale graph correlation with applications in connectomics

# publications[].label
The Importance of Being Correlated: Implications of Dependence in Joint Spectral Inference across Multiple Networks.

# publications[].label
Simultaneous prediction and community detection for networks with application to neuroimaging

# publications[].label
NETWORK CLASSIFICATION WITH APPLICATIONS TO BRAIN CONNECTOMICS.

# publications[].label
Manifold Oblique Random Forests: Towards Closing the Gap on Convolutional Deep Networks

# publications[].label
Multiple Network Embedding for Anomaly Detection in Time Series of Graphs

# publications[].label
Effect of Mexico's vaccination program on Covid-19 cases, hospitalizations, and deaths among older adults in Mexico City.

# publications[].label
Maximum Likelihood Estimation and Graph Matching in Errorfully Observed Networks

# publications[].label
Overlapping community detection in networks via sparse spectral   decomposition