Deep Learning-driven Enhancer Design

Animesh Awasthi (Ph.D. Student)

Understanding the complex regulation of gene expression by non-coding regions of the genome for cell-type-specific transcriptional activity is very challenging. Such regulatory mechanisms are crucial for developing a deeper understanding of human diseases and potential therapeutic strategies. Advancements in high-throughput sequencing technologies have enabled us to build deep learning models to predict gene expression from DNA sequences. This research focuses on utilizing deep learning methods to predict cell-type-specific gene expression and generate novel synthetic sequences for precise gene expression control.

Primary Host:	Christoph Bock (CeMM Research Center for Molecular Medicine)
Exchange Host:	Erik J. Bekkers (University of Amsterdam)
PhD Duration:	21 August 2023 - 20 August 2027
Exchange Duration:	01 July 2025 - 31 December 2025 - Ongoing