Stefan Semrau, Ph.D., JAX-NYSCF, will discuss an automated, high‑throughput strategy for in vitro Parkinson’s disease modeling. Robotic iPSC expansion and neuronal differentiation were used to profile 309 iPSC lines spanning PD patients from the MJFF’s PPMI cohort, matched controls, and genetically engineered risk variants. High‑content imaging enabled AI‑based disease classification from cellular morphology, complemented by disease‑ and variant‑specific molecular profiles derived from bulk RNA‑sequencing.