소개
Carl Chalmers is a Research Scientist in AI Sensing and Inference Systems at the Microsoft AI for Good Lab, specialising in applied artificial intelligence, large-scale inference systems, and sensor integration for biodiversity and environmental monitoring. He designs and develops end-to-end AI systems spanning model development, optimisation, deployment, and distributed or edge-based inference for real-world applications.
His work focuses on building efficient, scalable, and robust intelligent systems that bridge advanced machine learning with practical deployment in challenging environments. He also researches novel approaches in applied and foundational AI, with particular interest in edge computing, model optimisation, multimodal sensing, and seamless integration of AI into operational platforms.