Wengan He
Graduate Student
China
Summary
👤
Senior🎓
Top SchoolWengan He is a graduate student at Sun Yat-sen University with eight years’ industry experience in solar photovoltaics and four years applying machine learning to medicinal chemistry and quantum chemistry. He blends hands-on domain knowledge in energy systems with research in AI-driven interatomic interaction models, positioning him at the intersection of applied engineering and computational chemistry. His work focuses on integrating quantum chemistry methods with machine learning to accelerate drug-related molecular modeling and materials understanding. Based in China, he brings practical industry experience to academic research, making him adept at translating real-world problems into computational experiments. A detail that sets him apart is his cross-disciplinary trajectory—from solar PV engineering to ML for molecular interactions—enabling unique perspectives on modeling complex physical systems.
8 years of coding experience
研究生, medicine chemistry(machine learning), 研究生, medicine chemistry(machine learning) at Sun Yat-Sen University
Github Skills (23)
paddle8
ase8
computational-chemistry8
nodejs7
mscoco7
lammps7
python7
cpp7
cuda6
deep-learning6
tensorflow6
pytorch6
object-detection5
machine-learning5
semantic-segmentation5
Programming languages (2)
Github contributions (5)
Wengan2018/world17
Apr 2018 - Apr 2018
Contributions:2 branches in 1 day
hewg2008/AromTool
Apr 2021 - Apr 2021
Contributions:1 branch in 1 day
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