Hongbin Yang
Research Fellow at University of Cambridge
Shanghai, United Kingdom
Summary
👤
Senior🎓
Top SchoolHongbin Yang is a research-focused algorithm scientist with 12 years of experience bridging chemoinformatics, machine learning, and pharmaceutical sciences. With a PhD in Chemoinformatics and a current Research Fellow role at the University of Cambridge, he develops interpretable QSAR models and novel features from hiPSC-CM calcium transients to predict cardiac risk. He has practical experience building retrosynthesis algorithms and applying MCTS and deep neural networks from internships and a stint at Chemical.AI, plus hands-on NGS and DEL analysis at Amgen. Skilled in programming, web development, and data science, he blends domain knowledge in ADMET prediction and structural alert identification with production-ready algorithm engineering. Notably, his work emphasizes model interpretability and parameter derivation from waveform data—bringing experimental signal insight into predictive chemistry models.
12 years of coding experience
Bachelor's degree, Pharmaceutical Engineering, Bachelor's degree, Pharmaceutical Engineering at East China University of Science and Technology
English
Stackoverflow
823reputation
94kreached
40answers
9questions
Github Skills (137)
python10
hexo10
render10
regression10
deep-learning10
random-forest10
clustering10
thunderbird10
ml10
thunderbird-extension10
cheminformatics10
neural-network10
biology10
data-science10
classification10
Programming languages (9)
Github contributions (5)
zealseeker/chemviewer
Feb 2019 - Dec 2022
Browse chemicals in a spreadsheet to facilitate analyzing
Contributions:1 release, 26 commits, 7 PRs in 3 years 10 months
analyzingchemicalsspreadsheetbrowse
zealseeker/admetsar2-doc
Jul 2018 - Feb 2022
Contributions:2 releases, 15 commits, 15 pushes in 3 years 7 months
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