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I am Qiaolin Wang, a second-year Master’s student in Electrical Engineering at Columbia University, advised by Professor Nima Mesgarani.

I am passionate about building models that can Preceive, Reason, and Speak as naturally as humans do. My current research investigates the fundamental capabilities of Large Audio Language Models (LALMs), from their internal representations about syntax and context, to their capacity for complex reasoning across modalities. My future work aims to advance this by pioneering Audio-Visual Understanding and unified models for Reasoning and Generation.

Before joining Columbia, I earned my B.Eng. in Computer Science from Wuhan University. I also had an enriching experience as a Research Intern at Wiz.AI, where I developed a SOTA Speech Emotion Recognition LLM.