Samiul Hasan

Scientific Lead, Data and Computational Sciences Solutions, GSK

Samiul Hasan is the Scientific Lead in the Data and Computational Sciences Solutions team at GSK. Samiul’s passion is in using computational techniques including semantic technologies to enhance scientific decision making and increase the chances of getting better treatments to patients more

He has implemented several analysis pipelines for critical GSK discovery projects and was instrumental in developing widely used Bioinformatics infrastructure. Samiul carried out his PhD in Bioinformatics at the Wellcome Trust Sanger Institute/University of Cambridge where he was applying machine learning approaches for predicting regulatory regions in human DNA.

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My Sessions

Powering Question-Driven Problem Solving to Improve the Chances of Finding New Medicines

Nodes Room

Making true “molecule”-“mechanism”-“observation” relationship connections is a time consuming, iterative and laborious process. In addition, it is very easy to miss critical information that affects key decisions or helps make plausible scientific connections. The current practice for deciphering such relationships frequently involves subject matter experts (SMEs) requesting resource from resource-constrained data science departments to refine […]

Life Sciences Track