734-647-9410

Applications:
Bioinformatics, Genetics, Genomics, Medical Informatics
Methodologies:
Artificial Intelligence, Data Mining, Deep Learning, Graph Theory and Graph-based Methods, Heterogeneous Data Integration, High-Dimensional Data Analysis, Machine Learning, Predictive Modeling, Spatio-Temporal Data Analysis, Statistical Analysis and Simulation, Statistical Inference

Jie Liu

Assistant Professor

Computational Medicine and Bioinformatics

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.

The first computational embedding method for single cells in terms of their chromatin organization.