Area of research
Artificial Intelligence · Molecular Biology
Research interest
Research interests include Gene expression and cancer classification, Functional Brain Connectivity Studies, Statistical Methods and Inference, and Bayesian Modeling and Causal Inference.
Ontology-aware DNA methylation classification with a curated atlas of human tissues and cell types
Downregulation of glial genes involved in synaptic function mitigates Huntington's disease pathogenesis
Crowdsourced estimation of cognitive decline and resilience in Alzheimer's disease
TCGA2STAT: simple TCGA data access for integrated statistical analysis in R
Graphical Models via Univariate Exponential Family Distributions.
PubMed 2015cited by 113position: middle
Graphical Models via Generalized Linear Models
2012cited by 129position: middle
Minipatch Learning for Selection, Stability, Inference, and Scalability
Minipatch Learning for Selection, Stability, Inference, and Scalability
CAREER: New Techniques for Statistical Learning and Multivariate Analysis
Collaborative Research: Statistical Methods for Integrated Analysis of High-Throughput Biomedical Data
Multivariate Methods for High-Dimensional Transposable Data