Wilson Wu is a PhD candidate at Imperial College London with 14 years of experience blending synthetic chemistry, data-driven experiments and machine learning to accelerate reaction discovery and process design. He holds a First Class MChem from the University of Edinburgh and an MRes with distinction, and his research focuses on molecular recognition, flow reaction technology and automated data capture for ML models. Practically experienced in RDKit, scikit-learn, TensorFlow/Keras and reaction analytics, he has translated models from notebooks into production pipelines and delivered virtual screening hits during an ETH Zürich placement. Wilson pairs hands-on lab synthesis and computational quantum predictions with clear communication to non-specialists, and has led student communities and teaching sessions in software carpentry. Notably, his work spans both academic method development and real-world deployment of ML workflows for chemical problems.
14 years of coding experience
1 year of employment as a software developer
MChem Chemistry with a Year Abroad, Chemistry, 1st Class Honours, MChem Chemistry with a Year Abroad, Chemistry, 1st Class Honours at The University of Edinburgh
Doctor of Philosophy - PhD, Chemistry, Doctor of Philosophy - PhD, Chemistry at Imperial College London
Contributions:6 commits, 1 PR, 4 pushes in 1 year 8 months
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Wilson Wu - Doctoral Student at Imperial College London