Le Chen
AI Researcher at Argonne National Laboratory
💡 LLM, HPC, AI4Code
✉️ lechen[AT]anl.gov
💻 DSL, Argonne National Laboratory
🌆 Chicagoland, Illinois
Le Chen is a Postdoctoral Researcher at Argonne National Laboratory, supervised by Dr. Rajeev Thakur. His research spans HPC4AI ↔ AI4HPC. In HPC4AI, he focuses on large-scale and efficient inference and training of AI models on modern supercomputing systems. In AI4HPC, his work centers on developing and evaluating large language models (LLMs) for scientific code generation, translation, and reasoning. Broadly, his research aims to bridge high-performance computing and artificial intelligence to accelerate scientific discovery.
news
| Oct 20, 2025 PUBLICATION | [NeurIPS 2025 - Efficient Reasoning] ✨📄 Paper accepted! See you in San Diego! Evaluating the Safety and Skill Reasoning of Large Reasoning Models Under Compute Constraints |
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| Sep 30, 2025 PUBLICATION | [IEEE HPEC] 🏆📄 Paper accepted with Outstanding Student Paper Award ! UniPar: A Unified LLM-Based Framework for Parallel and Accelerated Code Translation in HPC |
| Sep 10, 2025 PUBLICATION | [SC25 - AI4S] ✨📄 Paper accepted! See you in St. Louis! FIRST: Federated Inference Resource Scheduling Toolkit for Scientific AI Model Access |
| Sep 08, 2025 PUBLICATION | [SC25 - TPC] ✨📄 Paper accepted! Evaluation of Test-Time Compute Constraints on Safety and Skill Large Reasoning Models |
| Jul 30, 2025 PUBLICATION | [ICPP - AI4Dev] ✨📄 Paper accepted! AI Assistants to Enhance and Exploit the PETSc Knowledge Base |