Jianmin Wang
Data Scientist
中国(China)
Summary
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RockstarJianmin Wang is a data scientist with eight years of experience at the intersection of drug design, chemoinformatics, and AI-driven bioinformatics. He combines hands-on Python and C/C++ programming with deep learning to tackle medicinal chemistry and synthesis problems, bringing a pragmatic Linux-first workflow to research engineering. Based in China, Jianmin applies computational methods to accelerate drug discovery, blending domain knowledge in medicinal chemistry with statistical modeling and algorithm development. He is comfortable moving between low-level implementation and higher-level model design, enabling reproducible pipelines from data ingestion to predictive modeling. An enthusiastic open-source and Linux practitioner, he emphasizes tooling and automation that make complex bioinformatics workflows tractable and shareable.
9 years of coding experience
Github Skills (47)
lstm-neural-networks10
rdkit10
reinforcement-learning10
protein-design10
material-design10
lstm10
deep-learning10
generative-ai10
cheminformatics10
transformer10
ppi10
active-learning10
llm9
python9
generative-model9
Programming languages (6)
Github contributions (5)
AspirinCode/drug-likeness_space
Jan 2022 - Feb 2023
Explore drug-like space with deep generative models
Contributions:13 commits, 7 pushes, 2 branches in 1 year 1 month
generative-modelqedqeppidrug-likenesstransformer-architecture
AspirinCode/awesome-AI4MolConformation-MD
Apr 2024 - Jun 2026
List of molecules (small molecules, RNA, peptide, protein, enzymes, antibody, and PPIs) conformations and molecular dynamics (force fields) using generative artificial intelligence and deep learning
Contributions:4 PRs, 461 pushes, 9 branches in 2 years 3 months
artificial-intelligencedeep-learningganlstm-neural-networksmolecular-dynamics
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