Max Robotics — Global Service Robot Directory + US Certification

About

Matthew DeHaven is a researcher at the intersection of synthetic biology and sustainable engineering, with key contributions in high-throughput biological experimentation and automated systems for electric vehicle (EV) battery recycling. His most impactful work focuses on developing highly-automated frameworks for replicating and assessing yeast-based logic circuit designs, a critical step toward reliable, scalable bio-computing. In a landmark 2022 study (8 citations), DeHaven led an experimental campaign that successfully replicated logic gate performance assessments in *Saccharomyces cerevisiae*, using a novel high-throughput platform developed under DARPA’s Synergistic Discovery and Design program. This work demonstrated the power of automation in ensuring reproducibility and accelerating the design-build-test-learn cycle in synthetic biology. More recently, DeHaven has applied his automation expertise to a pressing environmental challenge: the disassembly of EV battery packs. His 2025 study (2 citations) addresses the growing need for efficient end-of-life battery processing as EV adoption surges—projected to increase battery demand sevenfold by 2035. By bridging biological circuit design and industrial robotics, DeHaven exemplifies how cross-disciplinary automation can drive innovation in both biotechnology and sustainable manufacturing.