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 quickly.

About this speaker

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.


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

04 October 2019, 12:00 AM
Samiul Hasan