Juncheng Yang is an Assistant Professor in the School of Engineering and Applied Science at Harvard University. He received his Ph.D. in Computer Science from Carnegie Mellon University in 2024, His research interests broadly cover the efficiency, performance, reliability, and sustainability of large-scale data systems.

Juncheng’s works have received best paper awards at NSDI'24, NSDI'21, SOSP'21, and SYSTOR'16. His OSDI'20 paper was recognized as one of the best storage papers at the conference and invited to ACM TOS'21. Juncheng received a Facebook Ph.D. Fellowship in 2020, was recognized as a Rising Star in machine learning and systems in 2023, and a Google Cloud Research Innovator in 2023.

His work, Segcache, has been adopted for production at Twitter and Momento. The two eviction algorithms he designed (S3-FIFO, SIEVE) have been adopted for production at Google, VMware, Redpanda, and several others, with over 20 open-source libraries available on GitHub. Moreover, the open-source cache simulation library he created, libCacheSim, has been used by almost 100 research institutes and companies.