Malcolm Sim

University of Toronto, Monash University

Papers

Total Citations

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About

Malcolm Sim is a researcher working at the intersection of artificial intelligence, robotics, and autonomous experimentation, with a growing focus on the transformative potential of emerging technologies in scientific discovery and occupational health. He is perhaps best known for his foundational contributions to the development of **self-driving laboratories (SDLs)** — next-generation research platforms that integrate AI-driven decision-making, robotics, and high-performance computing to enable closed-loop, autonomous experimentation without human intervention. His most influential work centers on **Atlas**, a sophisticated decision-making framework described as a "brain" for self-driving laboratories, which has garnered nearly 50 citations across its 2023 and 2025 publications — a remarkable achievement reflecting rapid uptake in a cutting-edge field. This work positions Sim as a key contributor to accelerating scientific research through intelligent automation. Beyond laboratory autonomy, Sim has also engaged with the broader societal implications of new technologies, contributing to discussions on occupational health in the tradition of Ramazzini, examining how robotics and automation reshape workplace risk. His research bridges technical innovation and human impact, making him a distinctive and socially conscious voice in the autonomous systems research community.