Grants

R01MH136979 (Co-I)

NIH-NIMH
Social Media Use and Mental Health among Racially/Ethnically Minoritized Adolescents

SCON-10000920 (Co-PI)

National Academy of Sciences, Engineering, and Medicine
Integrating Public Data Systems and Social Determinants of Health in Coastal Texas At-Risk Neighborhoods

CPRIT RP230204 (Co-Director of the Single Cell Data Science Core)

CPRIT
Gene-Environment-Lifestyle Interactions in Cancer

1R01GM148974-01 (PI)

NIH-NIGMS
Bayesian Differential Causal Network and Clustering Methods for Single-Cell Data

1R25LM014219-01 (Co-I)

NIH-NLM
The Biomedical Informatics and Behavioral Sciences (BIBS) Summer Research Program

1R01MH128085-01 (Co-I)

NIH-NIMH
Bayesian Methods for Optimizing Combination Antiretroviral Therapy for Mental Health in People with HIV

NSF DMS-2112943 (PI)

NSF
Automated Causal Discovery with Observational Data via Directed Graphical Models - New Theory and Methods

Selected Publications

>> See the list of all publications

(2024). Casual Structural Modeling of Survey Questionnaires via a Bootstrapped Ordinal Bayesian Network Approach. Psychometrika, just accepted.

(2024). Directed Cyclic Graphs for Simultaneous Discovery of Time-Lagged and Instantaneous Causality from Time-Series Data. Journal of Machine Learning Research, minor revision.

(2024). Graphical Dirichlet Process for Clustering Non-Exchangeable Grouped Data. Journal of Machine Learning Research, just accepted.
[Student Paper Award Winner of the Section on Bayesian Statistical Science (SBSS) of the ASA].

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(2024). Blocked Gibbs Sampler for Hierarchical Dirichlet Processes. Journal of Computational and Graphical Statistics, just accepted.

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(2024). A Bayesian Approach for Investigating the Pharmacogenetics of Combination Antiretroviral Therapy in People with HIV. Biostatistics, just accepted.

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(2023). Directed Cyclic Graph for Causal Discovery from Multivariate Functional Data. Advances in Neural Information Processing Systems (NeurIPS) 36.
[Recipient of Scholar Award from NeurIPS].

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(2023). Functional Bayesian Networks for Discovering Causality from Multivariate Functional Data. Biometrics, 79, 3279–3293.

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(2023). Covariate-Assisted Bayesian Graph Learning for Heterogeneous Data. Journal of the American Statistical Association, just accepted.

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(2023). Individualized Causal Discovery with Latent Trajectory Embedded Bayesian Networks. Biometrics, 79(4), 3191-3202.

(2023). Model-Based Causal Discovery for Zero-Inflated Count Data. Journal of Machine Learning Research, 24(200), 1-32.

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(2022). Individualized Inference in Bayesian Quantile Directed Acyclic Graphical Models. arXiv:2210.08096.

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(2022). Bivariate Causal Discovery for Categorical Data via Classification with Optimal Label Permutation. Advances in Neural Information Processing Systems (NeurIPS) 35.

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(2022). Bayesian Covariate-Dependent Gaussian Graphical Models with Varying Structure. Journal of Machine Learning Research, 23(242), 1-29.

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(2022). Bayesian Hierarchical Quantile Regression with Application to Characterizing the Immune Architecture of Lung Cancer. Biometrics, just accepted.

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(2022). Sparse Semiparametric Discriminant Analysis for High-Dimensional Zero-Inflated Data. arXiv:2208.03734.

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(2022). Causal Discovery with Heterogeneous Observational Data. Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 180:2383-2393.

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(2022). Ordinal Causal Discovery. Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence (UAI), PMLR 180:1530-1540.

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(2022). Phylogenetically Informed Bayesian Truncated Copula Graphical Models for Microbial Association Networks. Annals of Applied Statistics, 16(4), 2437-2457.

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(2021). BAGEL: A Bayesian Graphical Model for Inferring Drug Effect on Depression Longitudinally in People with HIV. Annals of Applied Statistics, 16(1), 21–39.

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(2021). DNB: A Joint Learning Framework for Deep Bayesian Nonparametric Clustering. IEEE Transactions on Neural Networks and Learning Systems, 1-11.

(2021). A Bayesian Nonparametric Approach for Inferring Drug Combination Effects on Mental Health in People with HIV. Biometrics, 78, 988–1000.
[Student Paper Award Winner of the Mental Health Statistics Section (MHSS) of the ASA].

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(2021). Bayesian Biclustering for Microbial Metagenomic Sequencing Data via Multinomial Matrix Factorization. Biostatistics, 23(3), 891–909.
[Student Paper Award Winner of the Section on Bayesian Statistical Science (SBSS) of the ASA].

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(2020). Bayesian Causal Structural Learning with Zero-Inflated Poisson Bayesian Networks. Advances in Neural Information Processing Systems (NeurIPS) 33.
[Spotlight Presentation (385 out of 9454, acceptance rate 4%)].

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(2020). Consensus Monte Carlo for Random Subsets using Shared Anchors. Journal of Computational and Graphical Statistics, 29(4), 703-714.

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(2020). Bayesian Double Feature Allocation for Phenotyping with Electronic Health Records. Journal of the American Statistical Association (Applications & Case Studies), 115(532), 1620-1634.

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(2020). Scalable Bayesian Nonparametric Clustering and Classification. Journal of Computational and Graphical Statistics, 29(1), 53-65.

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(2019). Bayesian Hierarchical Varying-sparsity Model with Application to Cancer Proteogenomics. Journal of the American Statistical Association (Applications & Case Studies), 114(525), 184-197.

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(2019). Polygenic Prediction via Bayesian Regression and Continuous Shrinkage Priors. Nature Communications, 10(1), 1776.
[Selected as Editors’ Highlights].

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(2019). Bayesian Graphical Regression. Journal of the American Statistical Association (Theory & Methods), 114(525), 48-60.

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(2018). Heterogeneous Reciprocal Graphical Models. Biometrics, 74(2), 606-615.

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(2017). Sparse Multi-Dimensional Graphical Models: A Unified Bayesian Framework. Journal of the American Statistical Association (Theory & Methods), 112(518), 779-793.

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(2015). Bayesian Nonlinear Model Selection for Gene Regulatory Networks. Biometrics, 71(3), 585-595.

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Popular Topics

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Location

  • BLOC 458E, 3143 TAMU, College Station, TX 77843