| Personal Information | |
|---|---|
| Name | Zach Maas |
| Employment | Transitioning PhD | Open to Full-Time |
| Previous |
Data Science / ML, [Early Stage Startup] Graduate Student, BioFrontiers Institute Professional Research Assistant, University of Colorado Boulder |
| Education |
PhD, Computer Science BA Mathematics, Chemistry |
| More Information | What I'm Up To | |
| Tools | |
|---|---|
| DESeq2 Interactive Visualizer | Web Tool |
| Research | |
|---|---|
| Graph Based LLM Interpretability | Ongoing Research |
| Interpretable BERTs for Genomic Data | Ongoing Research |
| Papers | |
|---|---|
| ∗ Supervised and Unsupervised Methods for Transcriptional Sequencing Data | 2025, PhD Thesis |
| TFIIH kinase CDK7 drives cell proliferation through a common core transcription factor network | 2025 |
| ∗ Internal and External Normalization of Nascent RNA Sequencing Run-On Experiments | 2024 |
| ∗ Deconvolution of Nascent Sequencing Data Using Transcriptional Regulatory Elements | 2024 |
| Atlas of nascent RNA transcripts reveals enhancer to gene linkages | 2023, Under Review |
| Transcription Factor Enrichment Analysis (TFEA): Quantifying the activity of hundreds of transcription factors from a single experiment | 2021 |
| Selective inhibition of CDK7 reveals high-confidence targets and new models for TFIIH function in transcription | 2020 |
| TFIID enables RNA polymerase II promoter-proximal pausing | 2020 | ∗ - First Author |