PhD Students
| Name | Description |
|---|---|
| Pedro Baldoni | Twitter Website |
 | Multi-replicate detection of consensus epigenomic activity ( github ) from high-throughput sequencing data sets (ChIP-seq, ATAC-seq, FAIRE-seq, etc.). Detection of short and broad regions of differential epigenomic activity from multi replicate, multi-condition high throughout experiments and pattern detection of combinatorial interactions between multiple epigenomic processes ( github ) . Single-cell ChIP and ATAC-seq modeling via deep learning variational autoencoder. Co-advised with Joseph Ibrahim. |
| David Lim | Twitter Website |
 | Unsupervised clustering of RNA-seq data with simultaneous selection of cluster-discriminatory features and adjusted for confounders. Addressing missing data problems in deep learning variational autoencoders and bayesian deep learning models. Joint with Joseph Ibrahim. |
| Scott Van Buren | Twitter Website |
 | Accounting for transcript quantification uncertainty in differential transcript usage analysis using a measurement error framework. Expression quantification uncertainty in single cell RNA-seq data. Joint with Mike Love |
| Hillary Heiling | Twitter Website |
 | Building cross-study replicable survival models, meta-learning. Joint with Joseph Ibrahim |
Former Students
Tianyi Liu: BSPH Honors Student (Graduated 2019). Currently: PhD Student, Department of Biostatistics, UNC-CH