Education

East China University of Science and Technology, M.S., Pharmacy (AIDD focus).


Work experience

Sep 2019 – Sep 2020: IIPharma (Beijing), Research Scientist, AIDD.

Jul 2021 – Present: PharmaBlock (Nanjing), AI Research Scientist, AIDD.


Project experience

Molecular docking, molecular dynamics simulation, protein–ligand interactions, kinase-selective molecular design, fragment-based molecular generation, deep learning, AI drug design, large language models, Django web development, FastAPI integration, Dify


Skills matrix


Publications & IP

1. DL-DockVS (first author, 2023): Exploration on learning molecular docking with deep learning models (Quant. Biol. 2023, Vol. 11 Issue (3) : 320 -331. DOI: 10.15302/J-QB-022-0321)

2. KinomePro-DL (first author, 2024): The Development and Application of KinomePro-DL: A Deep Learning Based Online Small Molecule Kinome Selectivity Profiling Prediction Platform (J. Chem. Inf. Model. 2024, 64, 19, 7273–7290. DOI:10.1021/acs.jcim.4c00595)

3. PB-DELASA (2025): Development and Validation of an Automated DNA-Encoded Library Screening Data Analysis Platform: PB-DEL Autoscreening Analysis (PB-DELASA) (J. Chem. Inf. Model. 2025, 65, 19, 10487-10502. DOI:10.1021/acs.jcim.4c01900)

4. Patent (2024, contributor): Molecular design and structure optimization method, system, device, and storage medium

5. Patent (2024, lead): Multi-program voting consensus screening; consensus filtering of molecules and evaluation of binding pose rationality (in preparation)


Resume

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Project portfolio

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