Enoch Lam

Enoch is a PhD candidate in the Experimental Medicine program in the Department of Biomedical and Molecular Sciences. He also completed a BScH in Life Science here at Queen’s and has returned to his alma mater after having spent a few years working in Pharmacy and completing a MSc in Data Science in the UK.

He is interested in integrating his knowledge of biomedical science with statistical programming in the field of bioinformatics. He has previously worked on oxidative stress gene expression in fetal murine hematopoietic cells following benzene exposure in vitro. He has used his knowledge bases to develop methods to train multi-task machine learning models for the prediction of dihydrofolate reductase QSAR data across 20 species from the ChEMBL database.

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