Jing Huang
Principal Investigator
Hangzhou City, Zhejiang, China
Summary
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Senior🎓
Top SchoolJing Huang is a computational chemist and Principal Investigator based in Hangzhou with a decade of experience advancing molecular simulation methods and force field development. Trained at Tsinghua and summa cum laude PhD from Universität Basel, she has led postdoctoral work at premier institutions (NHLBI, UMD, Basel) on polarizable force fields, free energy methods, and path integral simulations. At Westlake University she directs research to improve the explanatory and predictive power of molecular models, bridging algorithm development, parameterization, and practical tool integration. An active contributor to OpenMM, she has implemented CUDA/OpenCL fixes and enhanced CHARMM parsers to support Drude particles and lone pairs—work that directly improves GPU-accelerated biomolecular simulation toolchains. Her background in system administration and code maintenance gives her rare hands-on fluency across high-performance computing, software engineering, and theoretical chemistry.
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (PhD), Computational Chemistry, Summa cum laude, Doctor of Philosophy (PhD), Computational Chemistry, Summa cum laude at Universität BaselMaster of Science (MS), Physics, Master of Science (MS), Physics at Tsinghua University
English, Chinese, German
Github Skills (8)
simulations10
simulation10
molecular-dynamics-simulation10
molecular-simulation10
python10
nonlinear-dynamics10
opencl9
cuda9
Programming languages (1)
Github contributions (5)
openmm/openmm
Feb 2016 - Jun 2019
OpenMM is a toolkit for molecular simulation using high performance GPU code.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:12 commits, 3 PRs, 17 comments in 3 years 4 months
Contributions summary:Jing primarily contributed to bug fixes and enhancements within the OpenMM molecular simulation toolkit. Their work involved resolving an issue within the DrudeParticleForce, which required modifications to CUDA and OpenCL kernels. They also merged branches and updated the python API for parsing CHARMM parameter files. Additionally, the user added new features to the CHARMM psf parser to handle systems including the Drude particles and lonepairs.
cudamolecular-dynamicsopenmmgpusimulation
jing-huang/openmm
Feb 2016 - Jun 2019
OpenMM is a toolkit for molecular simulation using high performance GPU code.
Contributions:18 pushes, 4 branches in 3 years 4 months
cudaopenmmgpusimulationmolecular
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