Quanquan C. Liu is an Assistant Professor of Computer Science at Yale University and Director of the WildAlg Lab. She holds a Ph.D. from MIT’s CSAIL and specializes in high-performance computing, parallel graph algorithms, and differentially private systems. Her work bridges foundational algorithmic theory with scalable real-world applications, addressing critical bottlenecks in AI and systems engineering. Recent milestones include the development of QEDBench, a pioneering benchmark for evaluating Large Language Models on complex mathematical proofs, ParEVO, an LLM-assisted tool for generating parallel code for irregular inputs, and SilhouetteDB, a secure, privacy-preserving graph database. Passionate about translating research into industry impact, Professor Liu actively participates in emerging theory-in-practice activities while mentoring the next generation of researchers and innovators at Yale.