Rongxin Fang

Rongxin Fang is a Graduate Student Researcher at Ludwig Cancer Research since September 2015, focusing on the development of innovative methodologies for epigenomic data analysis, including SnapR, single nucleus ATAC-seq, PLAC-seq, and CREST-seq, contributing to advancements in gene regulation and chromatin interaction mapping. Previous experience includes a summer internship at Illumina, where an algorithm (TaFuCo) for detecting structural variants in breast cancer was developed, and a rotation at Salk Institute for Biological Studies, where an R package for identifying methylation footprint from DNA methyl-seq data was created. Additional roles included a research assistantship at Duke University, applying machine learning techniques to study transcription factor binding specificity, and an internship at the University of Chinese Academy of Sciences. Rongxin Fang holds a Doctor of Philosophy in Bioinformatics from UC San Diego (2014-2018).