معرفی
Minlan Yu serves as the Gordon McKay Professor of Computer Science at Harvard University's School of Engineering and Applied Sciences (SEAS). She holds leadership positions as assistant director of the SRC/DARPA JUMP 2.0 ACE Center for Evolvable Computing and co-leads both the Harvard Power and AI initiative with Prof. Le Xie and the Harvard Systems + Theory group with Prof. Michael Mitzenmacher.
Her research spans data networking, distributed systems, enterprise and data center networks, network virtualization, and software-defined networking, with recent expansion into AI infrastructure systems. She has made significant contributions at the intersection of traditional networking and machine learning systems, particularly in optimizing network performance for large-scale AI training and inference workloads.
Her publication record shows a clear trajectory toward integrating large language models with networking systems, with multiple papers accepted to premier conferences like SIGCOMM, SOSP, NeurIPS, and HotNets in 2025. These works address critical challenges in LLM scheduling, network management for ML workloads, and acceleration techniques for multi-modal systems.
- Amazon Research Award (2023) for Troubleshooting Distributed Training Systems
As an educator, Professor Yu teaches advanced networking courses including CS 145 Networking at Scale and CS 243 Advanced Computer Networks. She maintains active research collaborations with industry partners and supervises graduate students working on cutting-edge network systems research. Her lab develops practical systems that address real-world challenges in cloud networking and AI infrastructure.
