Scholar
Zilinghan Li
Google Scholar ID: 4JbL29YAAAAJ
Machine Learning Engineer, Argonne National Laboratory
Citations & Impact
Citations
147
H-index
7
i10-index
5
Publications
20
Co-authors
14
list available
Publications
Resume (English only)
Research Experience
- Working as a Machine Learning Engineer under Ravi Madduri at Argonne National Laboratory
- Previously interned at Amazon Web Services (AWS)
- Technical lead for the development of APPFL (Advanced Privacy-Preserving Federated Learning), Argonne's federated learning framework
- Actively involved in the AuroraGPT project aiming to develop LLMs for general science
- Focused on scaling deep learning workflows on supercomputers such as Polaris, Sophia, and Aurora
