Tinyi Chu received his BSc in Biochemistry at the Chinese University of Hong Kong in 2013 (First Honor). During his undergraduate research, he worked on structural biology, biochemistry and microbiology, during which he independently solved the crystal structure of ribosomal maturation factor (PDB ID: 5GL6, doi: 10.1074/jbc.RA118.002298) and studied its related pathogenesis mechanisms. He was a SURF fellow at Caltech in the summer of 2011 and a CSSS Croucher Visiting Scholar of the University of Cambridge in the summer of 2012. After graduation Tinyi started his graduate study at the Cornell University, and switched to the field of statistical learning and computational biology.
Tinyi is currently a graduate student of the Computational Biology program at Cornell with minor in mathematics and computer science. He is actively working in the field of computational and systems biology in Charles Danko's lab. He is interested in developing bioinformatic tools and addressing biological questions using machine learning and statistical learning algorithms. In particular Tinyi leads the development of bioinformatic tools for analyzing PRO-seq/ChRO-seq data, and the study of transcriptional rewiring in glioblastoma.
Chromatin run-on and sequencing maps the transcriptional regulatory landscape of glioblastoma multiforme Chu T, Rice EJ, Booth GT, Salamanca HH, Wang Z, Core LJ, Longo SL, Corona RJ, Chin LS, List JT, Kwak H, Danko CG. Nature Genetics (https://www.nature.com/articles/s41588-018-0244-3)