Dr. Liu’s research lab aims to develop machine learning approaches for real-world bioinformatics and medical informatics problems. We believe that computational methods are essential in order to understand many of these molecular biology problems, including the dynamics of genome conformation and nuclear organization, gene regulation, cellular networks, and the genetic basis of human diseases.
Liu Lab currently has openings for graduate students and postdocs. Please reach out to Dr. Jie Liu via email if you are interested.
PhD in Computer Science, 2014
University of Wisconsin - Madison
04/2021 scHiCTools paper was accepted for publication in PLOS Computational Biology. Congratulations to Xinjun, Fan, Hongxi and Wai Yan.
04/2021 Shuze Wang’s work was published on Genome Research https://genome.cshlp.org/content/early/2021/04/09/gr.271080.120.abstract
03/2021 Sean Moran decided to join the lab after his rotation. Welcome, Sean!
10/2020 Zhenhao Zhang joined the lab and entered BIOINFO PhD program after finishing his master of IOE. Welcome, Zhenhao!
09/2020 Liu Lab received the NHGRI Innovator Award (R35) to develop deep learning approaches to understand the relationship between chromatin state features and chromatin organization.
An unsupervised manifold alignment algorithm, MMD-MA, for integrating multiple measurements carried out on disjoint aliquots of a given population of single cells.
The first computational embedding method for single cells in terms of their chromatin organization.
A graphical model based multiple testing procedure which captures dependence among the hypotheses.
Our results show that radiologists can potentially use genetic variants (SNPs) to improve personalized breast cancer diagnosis (Marco Ramoni Distinguished Paper Award).