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

03-28-2025
Shibiao is invited to be a Scientific Program Committee (SPC) Member for The 2025 American Medical Informatics Association (AMIA) Annual Symposium.

03-25-2025
Shibiao is appointed as Co-Director for Bioinformatics and Systems Biology (BISB) PhD Program at UNMC.

03-19-2025
Shibiao is invited to give a talk for CHRI Artificial Intelligence (AI) Virtual Seminar Series of UNMC to be held on May-05-2025 in Omaha, NE.

02-28-2025
A research article preprint “Accurate identification of medulloblastoma subtypes from diverse data sources with severe batch effects by RaMBat” is online at bioRxiv. The link is here. Congratulations to Mengtao!

02-11-2025
Shibiao gives a talk on "Machine Learning for Large-Scale Single Cell Analysis" for the Immunology Interest Group of UNMC in Omaha, NE.

02-05-2025
A collaboration research article preprint “ECD co-operates with ERBB2 to promote tumorigenesis through upregulation of unfolded protein response and glycolysis” is online at bioRxiv. The link is here.

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