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 artificial intelligence (AI), machine learning (ML), 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, AI/ML and bioinformatics are perfect tools. Besides collaborating with scientists in cancer biology, metabolism, immunology, pathology and developmental biology, our laboratory is mainly to develop AI/ML 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
07-30-2026
A journal article titled “WIMOAD: Weighted Integration of Multi-Omics Data with Meta Learning for Alzheimer’s Disease Diagnosis” is accepted by the journal Journal of Alzheimer's Disease. Congratulations to Hanyu!
07-24-2026
Shibiao is invited to give a seminar talk for Department of Pathology, Microbiology, and Immunology at UNMC on Sep-09-2026.
07-21-2026
Shibiao is invited to serve as a member for the Developing Experts in Computation, Omics and Data Exploration (DECODE) Program Steering Committee at UNMC.
07-19-2026
Shibiao is invited to be a Grant Reviewer for the Defense Health Agency (DHA) Congressionally Directed Medical Research Programs (CDMRP) Patho-biology-3 (PB-3) Peer Review Panel of the Breast Cancer Research Program (BCRP).
07-17-2026
Shibiao is awarded an NSF Focused EPSCoR (Established Program to Stimulate Competitive Research) Collaboration (FEC) Grant to develop foundation models for crop lodging prediction. It will be a four-year grant with a start date as Aug-01-2026. Congratulations!
07-09-2026
Halime Efnan Kumbullu joins our lab as a visiting scholar. Welcome aboard!