With a master’s degree in mathematics, and a PhD applying my passion for machine learning on drug discovery and bioinformatics, I have honed my expertise on the cross-disciplinary skills needed to push cutting edge research in these fields.
Sam T. M. Ball, Numan Celik, Elaheh Sayari, Lina Abdul Kadir, Fiona O’Brien, Richard Barrett-Jolley (2022). PLOS ONE. Deep GANnel: Synthesis of fully annotated single molecule patch-clamp data using generative adversarial networks. (https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0267452)
Sam Ball, Numan Celik, Nathanael O’Neill, Fiona O’Brien, Richard Barrett-Jolley (2021). Biophysical Journal: Comparison of Deep Learning Models for Fully Automated Single Channel Idealization. (https://www.researchgate.net/publication/349259469_Comparison_of_Deep_Learning_Models_for_Fully_Automated_Single_Channel_Idealization)
O Haidar, S Ball, R Barrett-Jolley (2020) (bioRxiv): Discriminant Analysis of Principle Component analyses of Physiological Data. (https://www.biorxiv.org/content/10.1101/2020.01.09.899898v1)