Christian Munley

Christian Munley is an applied research scientist at NVIDIA focused on post-training and alignment of language models including the Nemotron family. Previously, he was a solutions architect at NVIDIA, supporting partners in leveraging accelerating computing in their research and products. His education is in physics and computer science, where he did research in topics including biophysics and LLMs for HPC.
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Posts by Christian Munley

Agentic AI / Generative AI Dec 15, 2025

How to Train Scientific Agents with Reinforcement Learning

The scientific process can be repetitive and tedious, with researchers spending hours digging through papers, managing experiment workflows, or wrangling... 13 MIN READ
Decorative image of RNA against a nucleotide letter background.
Data Center / Cloud Apr 09, 2025

Stanford Das Lab Accelerates RNA Folding Research with NVIDIA DGX Cloud

The Das Lab at Stanford is revolutionizing RNA folding research with a unique approach that leverages community involvement and accelerated computing. With the... 4 MIN READ
An illustration for AgentIQ.
Agentic AI / Generative AI Mar 18, 2025

Improve AI Code Generation Using NVIDIA NeMo Agent Toolkit

With the release of NVIDIA NeMo Agent toolkit—an open-source library for connecting and optimizing teams of AI agents—developers, professionals, and... 12 MIN READ
Data Center / Cloud Sep 17, 2024

Accelerating Oracle Database Generative AI Workloads with NVIDIA NIM and NVIDIA cuVS

The vast majority of the world's data remains untapped, and enterprises are looking to generate value from this data by creating the next wave of generative AI... 6 MIN READ