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About

Weiliang Tang is a rising researcher at the intersection of stem cell biology, microscopy, and robotics, whose work bridges cutting-edge biomedical engineering and embodied AI. His primary research areas include automated stem cell culture systems, 3D live-cell imaging, and embodiment-agnostic robotic action planning. Tang’s most impactful contribution is the development of an automated platform for human induced pluripotent stem cell (hiPSC) culture and sample preparation tailored for 3D live-cell microscopy, a breakthrough that enables high-throughput, reproducible, and minimally disruptive observation of cellular dynamics. This work, published in 2023, has already garnered 17 citations, reflecting its significance for regenerative medicine and disease modeling. In a bold interdisciplinary leap, Tang’s 2025 paper introduces a novel approach to robotic action planning that is independent of the robot’s physical form. By generating 3D object-part scene flow and extracting transformations, his method allows diverse robotic embodiments to plan actions by understanding how target objects move when manipulated. This work, though recent with 1 citation, promises to revolutionize flexible automation in biomedical labs and beyond. Tang’s achievements exemplify how integrating biological and computational perspectives can drive innovation in both fields.