Alejandro Gil Gómez

Alejandro Gil Gómez, Ph.D., is a Computational Scientist at Stony Brook Medicine and Research Computing focused on clinical and translational research. His expertise spans end-to-end bioinformatics, AI/ML workflows, and high-performance computing (HPC). He specializes in developing scalable, reproducible pipelines for a wide array of data types, including RNA-seq differential expression, genomic variant analysis, proteomics, and spatial omics. Experienced in processing HIPAA-regulated clinical datasets, he bridges advanced computational workflows with practical biomedical discovery. He holds a Ph.D. in Ecology and Evolution from Stony Brook University and has also taught bioinformatics and mentored students in data-intensive research.