The 2026 Spring Volunteership Symposium, hosted by the Mazumder Lab in the Department of Biochemistry and Molecular Medicine at George Washington University, showcased student-led bioinformatics research conducted through the lab’s volunteership program. Supported by projects affiliated with the NIH, ARPA-H, and FDA, the program provides trainees with hands-on experience in computational biology, biocuration, genomics, and machine learning through collaborative research initiatives. Presentations highlighted work across four major platforms: BiomarkerKB, GlyGen, PredictMod, and FDA-ARGOS, including biomarker biocuration from scientific literature, glycomics metadata harmonization using large language models (LLMs), machine learning models for intervention outcome prediction using public multi-omics datasets, and pathogen curation for the FDA-ARGOS reference genome database . This archived slide collection serves as a permanent record of the Spring 2026 symposium and reflects the lab’s commitment to interdisciplinary training, reproducible bioinformatics research, and the development of high-quality biomedical data resources.