Computer Vision – Robotics – AI for Life Sciences

Work with us

Scientific Objectives. Our research explores machine perception, robot learning, and AI-driven protein engineering. In machine perception, we seek to develop embodied systems that perceive, interact with, and learn from dynamic environments. Key challenges include enabling generalization across diverse tasks, achieving data-efficient learning akin to humans, and facilitating shared learning across systems for enhanced scalability and robustness. In protein engineering, we design AI models to understand protein dynamics, enzyme characterization, and molecule discovery. We collaborate with molecular biology experts to bridge computational advances with real-world biochemical challenges, pushing the frontiers of drug discovery and biomolecular engineering. More details about our research can be found here.

Applications. Our research has transformative implications across multiple domains. Advances in machine perception enable assistive robots to autonomously acquire new skills, self-navigating vehicles to handle complex conditions, and smart wearables to guide users in unfamiliar environments. In protein engineering, our AI-driven methods could revolutionize drug discovery, leading to breakthroughs in Alzheimer’s research and novel treatments for acute stroke and other life-threatening diseases. By combining AI and molecular science, we strive to impact healthcare, industry, and daily life.

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