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

06-04-2026
Arya Mamidyala joins our lab as a research intern. Welcome aboard!

05-28-2026
Shibiao has been selected as the Fred & Pamela Buffett Cancer Center’s Nominee for the 2026 V Foundation V Scholar Cancer Research Award.

05-26-2026
A research article preprint “Molecular Characterization of T-Lineage Acute Lymphoblastic Leukemia by an Optimal-Transport Based Multi-Omics Integration Framework” is online at bioRxiv. The link is here. Congratulations to Lusheng!

05-26-2026
As a co-PI, Shibiao is awarded the 2026 Nebraska Research Initiative (NRI) Collaborative Grant! The PI is Dr. Dobromir Dotov from UNO, and the co-PIs include Shibiao, Dr. Jonathan Clayton (UNO), and Dr. Xin Zhong (UNO). Congratulations!

05-23-2026
A research article preprint “Atlas-Level Single-Cell and Spatial Transcriptomics Data Integration via PRIME” is online at bioRxiv. The link is here. Congratulations to Xinchao!

05-06-2026
Yu Fang joins our lab as a volunteer. Welcome aboard!

... see all News