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

11-19-2025
Shibiao is invited to be a Grant Reviewer for the NIH Special Emphasis Panel (SEP) in Biodata Management and Computational Modeling.

11-14-2025
Shibiao is invited to serve as a reviewer for ACM Computing Surveys (IF 28; ranked 1/147 in Computer Science Theory & Methods).

11-05-2025
As an International Research Scholar, Dr. Xiaoting Fan has successfully completed her 6-month visit to Wan Lab! Best wishes to Dr. Fan's future career!

11-04-2025
Shibiao is invited to serve as a facilitator for University of Nebraska System Faculty Collaboration Initiative Annual Meeting in the research area of Cancer Prevention, Screening, and Early Intervention to be held on Nov-14-2025.

10-30-2025
Congratulations to Mengtao for passing the PhD comprehensive exam!

10-30-2025
An article titled “RanBALL: An Ensemble Random Projection Model for Accurate Subtype Identification of Pediatric B-Cell Acute Lymphoblastic Leukemia” is accepted at the journal Advanced Intelligent Systems. The link is here. Congratulations to Lusheng, Hanyu and Xinchao!

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