Summary
Yueyang Pan is a PhD candidate at EPFL specializing in making data-intensive system software more efficient at managing heterogeneous hardware (GPU, DPU, CXL, RDMA) and diverse workloads, with research focused on scalability and adaptive resource management for memory and storage. With about a decade of engineering experience and internships at Alibaba, Peking University, and EPFL, Yueyang blends deep systems research with practical performance engineering. He has contributed kernel-related open-source work (including DAMON and memory allocation profiling patches) and helped integrate memory profiling across large fleets during a Meta stint. Comfortable both in academia and large-scale production environments, he bridges OS-level innovation and deployable tooling for profiling and OOM workflows. Outside work he’s an avid traveler, daily gym-goer and amateur photographer who draws inspiration from ports like Gdańsk.
10 years of coding experience
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at 北京大学
Doctor of Philosophy - PhD, EDIC, Doctor of Philosophy - PhD, EDIC at Ecole polytechnique fédérale de Lausanne
English, Chinese, French