The Systems Biology & Biomedical Informatics (SBBI) Lab welcomes UNL undergraduate students interested in AI, data science, biology, and health.
Students in our lab work on real-world biomedical and health data, develop computational tools, and gain hands-on research experience during the academic year or summer.
No prior research experience is required - curiosity and motivation matter most.
Research Tracks
Bio-Data Analysis & AI in Biology
Analyze large-scale biological data (genomics, transcriptomics, proteomics, metabolomics, metagenomics, etc) and develop pipelines to extract meaningful biological insight.
Biomedical Informatics & Health Data Science
Use data-driven modeling and ML/AI to study disease, biomarkers, nutrition, and health-related questions.
Data Mining & Machine Learning Tools
Design and implement algorithms for pattern recognition, classification, clustering, and network analysis using real biomedical datasets.
Databases, Web & App Development
Build databases, web services, and apps that support biomedical research, health information access, and decision support.