Qiwen Hu, PhD

Mentor: Peter Kharchenko, PhD

Qiwen Hu received her PhD in Bioinformatics from North Carolina State University, where she studied translational regulation in plant genomes. Hu developed machine learning and statistical approaches based on high-throughput sequencing datasets to identify regulatory elements that affect transcription and translation, then continued to develop machine learning-based methods to extract regulatory signals from addicted brain and developmental tissues when worked at University Pennsylvania. She also worked on developing and evaluating deep learning model on single-cell datasets. At DBMI, she is expanding the research focus by integrating single-cell image, epigenetic and RNA-seq datasets to discover novel cell type patterns and regulatory elements from nascent brain and other tissues.