I'm a Senior Applied Research Scientist at NVIDIA working at the intersection of scientific AI, quantum systems, and autonomous experimentation. I build foundation-model and agentic systems that connect AI reasoning, scientific tools, and real experimental workflows.

• Scientific vision-language models for quantum calibration and scientific-figure understanding
• AI co-scientists and closed-loop agents for autonomous experimentation
• Scalable training, evaluation, and inference for scientific foundation models
• Superconducting quantum-device calibration, control, and experimental automation

• NVIDIA Ising — open models, tools, and workflows for accelerating useful quantum computing
• NVIDIA Quantum Calibration Agent Blueprint — a reference harness for AI-powered quantum-device calibration
• LeeQ — a Python framework for orchestrating, simulating, and automating superconducting-qubit experiments
• QCalEval — a benchmark for vision-language-model understanding of quantum-calibration plots

See my Google Scholar profile for publications across scientific AI, quantum computing, autonomous experimentation, and machine learning for physical systems.