Songlin Jiang

Songlin Jiang

Doctoral Researcher
Doctoral Researcher
T313 Dept. Computer Science

I'm a Doctoral Researcher supervised by Prof. Mario Di Francesco, where my research interest lies in Machine Learning Systems and Databases and I focus on improving Reinforcement Learning & Large Language Models (LLMs) training and inference latency on High-Performance Computing (HPC) clusters & edge devices.

Besides, I find immense joy in pushing my boundaries by tackling complex issues that have the potential to positively impact the public. My fervor converges with enhancing computer systemsnetworksdatabases, and their corresponding security aspects, which allows me to have impacts on computing for both the environment (greener while efficient) and people (faster while reliable). I am also a passionate free software developer, I maintain several open-source projects and contribute to many others.

Full researcher profile
https://research.aalto.fi/...
Postal address
Konemiehentie 2 02150 Espoo Finland

Areas of expertise

Machine Learning, Systems Engineering, Large Language Models, High Performance Computing, IoT, 113 Computer and information sciences, Information systems science

Research groups

  • Professorship Zhao Bo, Doctoral Researcher

Publications

OpenRLHF: A Ray-based Easy-to-use, Scalable and High-performance RLHF Framework

Jian Hu, Xibin Wu, Wei Shen, Jason Klein Liu, Weixun Wang, Songlin Jiang, Haoran Wang, Hao Chen, Bin Chen, Wenkai Fang, Yu Cao, Haotian Xu, Yiming Liu 2025 Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: System Demonstrations