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Yusuf Hamied Department of Chemistry


Interested in research in the field of computational chemistry and molecular informatics. Involved in various computer aided development projects including drug discovery and ab initio quantum chemistry methods. Currently working on assembly, modelling and interpretation of bioactivity datasets using novel statistical and machine learning techniques like Random Forest and Deep Neural Network aiming to link chemical structures to biological activity. The project focuses on better interpretebility and predictivity and will contribute to drug discovery and understanding structure activity relationship better than before.


Comparison of Cellular Morphological Descriptors and Molecular Fingerprints for the Prediction of Cytotoxicity- and Proliferation-Related Assays.
S Seal, H Yang, L Vollmers, A Bender
– Chemical research in toxicology

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01223 336432

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