Research Interests
Bayesian methods for high-dimensional & complex data
Network data analysis
Scalable algorithms with provable guarantees
Methods for spatial & dynamic data
Statistical imaging
Interpretable machine learning & artificial intelligence
Applications in ecology/biodiversity, neuroscience & environmental health
Network data analysis
Scalable algorithms with provable guarantees
Methods for spatial & dynamic data
Statistical imaging
Interpretable machine learning & artificial intelligence
Applications in ecology/biodiversity, neuroscience & environmental health
Selected Grants
Duke University Program in Environmental Health
Inst. Training Prgm or CMEMentor · Awarded by National Institutes of Health · 2019 - 2029Improving inferences on health effects of chemical exposures
ResearchPrincipal Investigator · Awarded by National Institute of Environmental Health Sciences · 2023 - 2028R01: Genetic Origins of Adverse Outcomes in African Americans with Lymphoma
ResearchCo Investigator · Awarded by National Institutes of Health · 2023 - 2028NSF-AoF: III: Small: Autonomous biodiversity monitoring through wireless communication technologies and artificial intelligence
ResearchPrincipal Investigator · Awarded by National Science Foundation · 2025 - 2027Clinical and Genetic of Monomorphic Epitheliotropic Intestinal T Cell Lymphoma
ResearchCo Investigator · Awarded by National Cancer Institute · 2023 - 2027Graphical modeling of high-dimensional tabular data
ResearchPrincipal Investigator · Awarded by Office of Naval Research · 2024 - 2027A Planetary Inventory of Life - a New Synthesis Built on Big Data Combined with Novel Statistical Methods
ResearchPrincipal Investigator · Awarded by European Research Council · 2020 - 2027Science-Integrated Predictive modeLing (SCINPL): a novel framework for scalable and interpretable predictive scientific computing
ResearchCo-Principal Investigator · Awarded by National Science Foundation · 2022 - 2025Calibrated uncertainty quantification in statistical learning
ResearchPrincipal Investigator · Awarded by Office of Naval Research · 2021 - 2024HDR TRIPODS: Innovations in Data Science: Integrating Stochastic Modeling, Data Representation, and Algorithms
ResearchSenior Investigator · Awarded by National Science Foundation · 2019 - 2023Reproducibility and Robustness of Dimensionality Reduction
ResearchInvestigator · Awarded by National Institutes of Health · 2017 - 2023Postdoctoral Training in Genomic Medicine Research
Inst. Training Prgm or CMEMentor · Awarded by National Institutes of Health · 2017 - 2023Structured nonparametric methods for mixtures of exposures
ResearchPrincipal Investigator · Awarded by National Institutes of Health · 2018 - 2023CRCNS: Geometry-based Brain Connectome Analysis
ResearchPrincipal Investigator · Awarded by National Institutes of Health · 2018 - 2022An Integrated Nonparametric Bayesian and Deep Neural Network Framework for Biologically-Inspired Lifelong Learning
ResearchCo Investigator · Awarded by Defense Advanced Research Projects Agency · 2018 - 2022Probabilistic learning of structure in complex data
ResearchPrincipal Investigator · Awarded by Office of Naval Research · 2017 - 2021Scalable probabilistic inference for huge multi-domain graphs
ResearchPrincipal Investigator · Awarded by Alibaba Innovative Research · 2017 - 2021BIGDATA:F: Scalable Bayes uncertainty quantification with guarantees
ResearchPrincipal Investigator · Awarded by National Science Foundation · 2015 - 2020Predicting Performance from Network Data
ResearchPrincipal Investigator · Awarded by U.S. Army Research Institute for the Behavioral and Social Sciences · 2016 - 2020New methods for quantitative modeling of protein-DNA interactions
ResearchCo Investigator · Awarded by National Institutes of Health · 2015 - 2020Network motifs in cortical computation
ResearchPrincipal Investigator · Awarded by University of California - Los Angeles · 2016 - 2019Nonparametric Bayes Methods for Big Data in Neuroscience
ResearchMentor · Awarded by National Institutes of Health · 2014 - 2019Air Quality by Genomics Interactions in a Cardiovascular Disease Cohort
ResearchCo Investigator · Awarded by Health Effects Institute · 2014 - 2017Bayesian learning for high-dimensional low sample size data
ResearchPrincipal Investigator · Awarded by Office of Naval Research · 2014 - 2017LAS DO6: Theory and Methods for Coarsened Decision Making; Synthetic Data Release: The Tradeoff between Privacy and Utility of Big Data
ResearchCo-Principal Investigator · Awarded by North Carolina State University · 2016 - 2016NCRN-MN:Triangle Census Research Network
ResearchCo Investigator · Awarded by National Science Foundation · 2011 - 2016Bayesian Methods for High-Dimensional Epidemiologic Data
ResearchPrincipal Investigator · Awarded by University of North Carolina - Chapel Hill · 2011 - 2016Predicting Treatment Futility in Refractory Diffuse Large B cell Lymphoma
ResearchStatistical Analyst · Awarded by Leukemia & Lymphoma Society · 2014 - 2015Bayesian Methods for Assessing Gene by Environment Interactions
ResearchPrincipal Investigator · Awarded by National Institutes of Health · 2009 - 2015Nonparametric Bayes Methods for Biomedical Studies
ResearchPrincipal Investigator · Awarded by National Institutes of Health · 2009 - 2015Emergence of Cardiometabolic Risk Across the Lifecycle in China
ResearchPrincipal Investigator · Awarded by University of North Carolina - Chapel Hill · 2013 - 2014Exome-wide screening for common mutations in lymphoma
ResearchInvestigator · Awarded by National Institutes of Health · 2011 - 2013Transfer and Active Learning for Intent Recognition
ResearchInvestigator · Awarded by Office of Naval Research · 2008 - 2012External Relationships
- Chapman Hall/CRC Press
- Merck Research Laboratories
This faculty member (or a member of their immediate family) has reported outside activities with the companies, institutions, or organizations listed above. This information is available to institutional leadership and, when appropriate, management plans are in place to address potential conflicts of interest.