I am a PhD candidate in bioengineering and computational biology, working at the intersection of multimodal epigenetic measurement technologies and neural network models to predict gene expression. Eukaryotic gene regulation is driven by the DNA sequence of the genome in interaction with multiple layers of complex epigenetic state. I am building computational tools to help measure, model, and understand this regulatory grammar, ranging from long read sequencing data processing to CNN and transformer models trained with new epigenetic data. A better understanding of the driving forces of gene expression and its dysregulation can be used for applications ranging from disease screening to target identification for new therapeutic modalities.