Wenkai Fu
Algorithm Engineer at KLA
Milpitas, California, United States
Summary
👤
Senior🎓
Top SchoolWenkai Fu is an algorithm engineer with 11 years of experience applying machine learning, Monte Carlo radiation transport, and crystal plasticity to real-world materials and nuclear engineering problems. Currently at KLA, he brings a research-to-production mindset honed through postdoctoral work at PNNL—where he developed deep-learning video prediction for nanoparticle phase transitions—and extensive simulation experience from his Ph.D. work in neutron detector modeling and transport codes (Geant4, MCNP). He programs primarily in C++ and Python and has engineered parallel solutions using MPI and OpenMP, including an OpenMP-parallelized discrete-ordinates solver for 3-D neutron transport. Comfortable with hardware-in-the-loop experiments and instruments (STM32, HPGe detectors, RTDs), he combines hands-on experimental skills with numerical modeling to close the loop between data and theory. Based in Milpitas, CA, he blends academic rigor with industry delivery, often tackling interdisciplinary problems at the intersection of materials science, radiation physics, and ML.
10 years of coding experience
7 years of employment as a software developer
Bachelor's degree, Mechanical Engineering, Bachelor's degree, Mechanical Engineering at Nanjing University of Aeronautics and AstronauticsPh.D., Nuclear Engineering, Ph.D., Nuclear Engineering at Kansas State University
Github Skills (1)
python6
Programming languages (1)
Github contributions (5)
Wenkai-Fu/triga_core_temperature
Apr 2017 - Jul 2018
Contributions:4 PRs, 16 pushes, 3 branches in 1 year 3 months
pnnl/sppsi_cppf
Jan 2020 - Feb 2020
Contributions:18 commits, 16 pushes in 7 days
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