Armin Scheben, Ph.D., is a senior scientist in computational biology at The Jackson Laboratory in New York, where he develops computational tools and analytical frameworks to advance human stem cell–based disease modeling. His work supports JAX’s mission by integrating multi‑modal data to uncover disease mechanisms in areas including neurodegeneration and cancer.
As part of the JAX‑NYSCF Computational Biology and Data Sciences team, Dr. Scheben collaborates with stem cell researchers, academic partners and industry groups to analyze large‑scale datasets generated from automated stem cell production, high‑throughput imaging and multi‑omics platforms. His research incorporates statistical modeling, machine learning and other computational approaches to evaluate cellular phenotypes and improve the reproducibility and translational value of stem cell models.
Dr. Scheben is particularly proud of his work predicting stem cell differentiation efficiency using genomic and transcriptomic data. By leveraging the NYSCF Repository of induced pluripotent stem cell lines, he identified germ layer–specific gene expression signatures in embryoid bodies, helping guide line selection for specialized disease models.
He earned his Ph.D. in Computational Biology from the University of Western Australia, where he studied the genomic basis of traits in plants and fungi. After postdoctoral work at Cold Spring Harbor Laboratory in the Simons Center for Quantitative Biology focused on phylogenetics and comparative genomics, he joined NYSCF in 2024 to apply high‑throughput omics and statistical approaches to human disease modeling. He became part of JAX in 2025 following the NYSCF acquisition.