Welcome to Wan Lab@UNMC

Machine Learning and Bioinformatics (MLAB) Lab

The Wan Lab in the Department of Genetics, Cell Biology and Anatomy (GCBA) at University of Nebraska Medical Center (UNMC) is focusing on machine learning, bioinformatics, and computational biology, especially in single-cell analysis, multi-omics analysis, spatial transcriptomics, cancer research, intelligent healthcare, and precision medicine. To unravel the mechanisms of molecular biological systems in which enormous amounts of heterogeneous data are usually involved, bioinformatics and machine learning are perfect tools. Besides collaborating with scientists in cancer biology, metabolism, immunology, pathology and developmental biology, our laboratory is mainly to develop artificial intelligence, machine learning and/or data science-based methods to tackle essential biomedical problems in genomics, transcriptomics, epigenetics, proteomics, metabolomics, and interactomes as well as medical imaging data and electronic health records (EHR) data.

We are looking for passionate new PhD students, Postdocs, and Master students to join our team (more info) !

News

08-28-2025
Shibiao is invited to serve as a reviewer for Nature Biotechnology (IF 41.7).

08-20-2025
Mengtao and Lusheng present two posters for the Pediatric Cancer Research Symposium 2025.

08-20-2025
Shibiao gives a talk for the Pediatric Cancer Research Symposium 2025.

08-19-2025
Mengtao, Lusheng, Nick, Xinchao and Min-jeong present posters for BISB and MGCB Student Research Forum 2025, UNMC Truhlsen Campus Events Center.

08-04-2025
Shibiao gives a featured talk on leveraging AI for characterizing pediatric cancer for The 2025 International Conference on Intelligent Biology and Medicine (ICIBM 2025) in Houston, TX. The conference program is here.

07-28-2025
A collaboration research article “ECD co-operates with ERBB2 to promote tumorigenesis through upregulation of unfolded protein response and glycolysis” is accepted by Cancer Letters (IF 10.1), for which Lusheng is a co-author. Congratulations! The link is here.

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