Leo Fang

Yao-Lung “Leo” Fang is a senior engineer at NVIDIA focusing on HPC, quantum computing, and Python software ecosystem. He is currently the technical lead for CUDA Python. Leo received his PhD in physics from Duke University in 2017. Before joining NVIDIA, he was an assistant computational scientist at Computational Science Initiative, Brookhaven National Lab. He is a regular contributor to many open source projects, including CuPy, mpi4py, conda-forge, and the Consortium for Python Data API Standards.
Avatar photo

Posts by Leo Fang

Decorative math image.
Developer Tools & Techniques Jul 30, 2026

Run High-Performance Core Math at Scale with NVIDIA nvmath-python

NVIDIA nvmath-python is a library designed to bridge the gap between the Python scientific community and NVIDIA CUDA-X math libraries. It gives Python users... 15 MIN READ
Icon of NVIDIA green circle with an arrow pointing diagonally up right.
Simulation / Modeling / Design Mar 09, 2022

Accelerating Quantum Circuit Simulation with NVIDIA cuStateVec

Quantum computing aspires to deliver more powerful computation and faster results for certain types of classically intractable problems. Quantum circuit... 9 MIN READ
Icon of NVIDIA green circle with an arrow pointing diagonally up right.
Simulation / Modeling / Design Mar 02, 2022

Scaling Quantum Circuit Simulation with NVIDIA cuTensorNet

Quantum computing aspires to deliver more powerful computation in faster time for problems that cannot currently be addressed with classical computing. NVIDIA... 10 MIN READ