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About

Andrzej Przekwas is a computational biomedical engineer whose research spans two remarkably distinct yet equally ambitious frontiers: microfluidic organ-on-chip systems and biomimetic neuromuscular modeling. His most impactful contributions lie in the development of fluidically coupled organ chip platforms that enable quantitative prediction of human pharmacokinetic responses to drugs—work that has garnered over 460 citations—and the engineering of robotic systems capable of autonomously interrogating multiple vascularized organ chips simultaneously, cited over 400 times. These landmark studies represent a significant leap toward replacing animal models in drug testing with physiologically accurate human tissue systems. Przekwas also contributed foundational work in neural-motor interfacing, developing biomimetic spiking cortical network models capable of driving both virtual musculoskeletal arms and physical robotic limbs, exploring how reinforcement learning can replicate sensorimotor cortical dynamics. His robotic interrogator platform, which automates the culture and fluidic linking of up to ten organ chips, exemplifies his talent for translating computational and biological insights into practical instrumentation. Collectively, Przekwas's work bridges computational modeling, microfluidics, and robotics in service of advancing personalized medicine and brain-machine interface technologies.