Jeffrey Lee is a technical leader on Kitware’s Scientific Computing Team. Jeff focuses on in-situ analysis for large-scale simulations, GPU-accelerated visualization workflows, and cloud-native HPC deployment architectures. Jeff brings deep experience in scientific computing, with a focus on real-time data exploration systems and accelerating scientific workloads on GPU architectures.

Before joining Kitware, Jeff held senior technical leadership roles at commercial engineering software companies where he drove GPU migration initiatives, cloud modernization efforts, and platform architecture for large-scale simulation systems. He was a founding architect for STAR-CCM+ visualization and analysis, building frameworks that supported distributed computing environments and real-time computational steering—early precursors to modern in-situ analysis approaches.

Some of Jeff’s past work includes:

• GPU transformation of traditional CFD solvers (presented at NVIDIA GTC 2025)
• Real-time visualization systems for distributed HPC simulations
• Enterprise simulation platform architecture and cloud modernization
• Meshing technologies and automated geometry processing

Jeff received his master’s degree in mechanical engineering from The Ohio State University, where his thesis focused on vortex-surface collisions. He also received his bachelor’s degree in mechanical engineering from Ohio State. Jeff enjoys road/mtb cycling, alpine skiing, and is a life-long musician.