Doctoral Researcher
Laboratory of Computational BiologySupervisor: Dr. Stein AertsThesis title: Exploring the code of life: From decoding to designing cell type-specific enhancers with deep learning• Led innovative research projects focused on decoding gene regulation through the development and application of deep learning models on DNA sequence and omics data.• Applied deep learning models to design synthetic enhancers targeting specific cell types in human melanoma and the fly brain, demonstrating the potential of enhancer code manipulation for gene therapy and cell state manipulation.• Published these findings in high-impact journals such as Nature and Genome Research, significantly advancing research on the functional impact of noncoding genome variation and enhancer code.Main projects:• Cross species analysis of enhancer logic (published in Genome Research).• Interpretation of non-coding variants on personal cancer genomes (published in Genome Research).• Decoding gene regulation in fly brain (published in Nature).• Designing cell-type-specific enhancers in human and Drosophila (published in Nature).