Pablo Quijano Velasco

Agency for Science, Technology and Research

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About

Pablo Quijano Velasco is a leading figure in the development of autonomous materials acceleration platforms (MAPs), with a focus on the software and hardware integration that makes high-throughput experimentation possible. His foundational work on an object-oriented framework for workflow evolution has enabled seamless interoperability across diverse robotic platforms, a critical step toward scalable, self-driving laboratories. This 2022 paper has garnered 22 citations, establishing him as a key architect of the modular, reusable software infrastructure that underpins modern materials discovery. More recently, Velasco tackled a persistent bottleneck in laboratory automation: the accurate handling of viscous liquids. In his 2024 study, he applied multi-objective optimization to pipetting parameters, solving the “sticky situation” that has long plagued liquid handling robots. This work, already cited 9 times, provides a practical, data-driven solution for transferring high-viscosity fluids with precision. By bridging the gap between software frameworks and physical automation challenges, Velasco’s contributions are accelerating the pace of materials science, enabling researchers to design, execute, and evolve complex experimental workflows with unprecedented reliability and speed.