Postdoc Associate
Department of Genetics
Yale University
850 W Campus Dr, RM320
West Haven, CT 06516 USA
chuanpeng.dong@yale.edu
Research Interests
Machine Learning; Functional genomics Analysis; Multi-omics data (bulk/single cell); CRISPR screen; Foundation model for biology.
My research focuses on applying systems biology approaches to unravel disease-associated functional genomes and translate these insights into more effective and safer treatment strategies. I have conducted several studies exploring the regulation of functional genomes in complex diseases, combining computational modeling with experimental validation. A significant part of my work has been dedicated to developing computational tools to uncover the roles of immunologic genetic alterations in disease risk, particularly in cancer and aging. This includes studying how aberrant intron retention, a form of post-transcriptional regulation, influences adaptive immunity in cancer and other diseases. Additionally, I have developed computational methods to identify synergistic gene pairs to enhance cancer immunotherapies. My ongoing efforts involve applying foundational models, such as LLaMa, to biology, with testable hypotheses being validated through wet-lab experiments.
Education and Traning
Postdoc, Genetics & System Biology Institute, Yale University, 07/2022 -
Ph.D. in Bioinformatics, Indiana University, 06/2022
M.S. in Bioinformatics, Fudan University, 07/2017
RA in Pharmacology, Hengrui Pharmaceuticals Co., Ltd, 2012 - 2014
B.S. in Animal Science (genetics), Jilin University, 06/2012