Daniel Paull joined The Jackson Laboratory (JAX) in 2025 following JAX’s acquisition of the New York Stem Cell Foundation (NYSCF), including the NYSCF Global Stem Cell Array®. He leads this advanced, automated platform, which enables large-scale stem cell production and disease modeling. Paull’s expertise at the intersection of biology and engineering has driven the development of scalable, high-throughput approaches that enhance consistency and efficiency in stem cell research, particularly for diseases affecting broad patient populations.
At JAX, Paull continues to evolve the NYSCF Global Stem Cell Array® by integrating automation imaging, and artificial intelligence. Under his leadership, the platform supports the large-scale derivation and analysis of induced pluripotent stem cell (iPSC) lines, facilitating collaborative research and accelerating the discovery of new therapies.
Paull received his Ph.D. in Ophthalmology and Cell Biology from University College London, England, and performed his postdoctoral work in the lab of Dieter Egli at NYSCF. In the latter role, he laid the groundwork for developing the NYSCF automation systems by gaining a firm understanding of how to create stem cells and turn them into the other cell types of the body, including the development of somatic cell nuclear transfer – a method for generating patient-specific embryonic stem cells.
He was also instrumental in developing a technique called mitochondrial replacement therapy (MRT) in which mutated mitochondrial DNA (genetic material inherited maternally) is replaced with that of a healthy donor during the in vitro fertilization process. The aim of this technique is to prevent the inheritance of incurable mitochondrial diseases from mother to child and have undergone preliminary clinical trials in the United Kingdom.
Paull’s work was pivotal in developing the core technology for the NYSCF Global Stem Cell Array®, including automation of the process of converting skin and blood cells to iPSCs. Combining biology with software and hardware engineering, this platform eliminates the variability that occurs when iPSCs are made by hand and allows for large-scale experiments.