Hasan Mirza
Bioinformatician with 10 years of extensive experience in building data-analysis pipelines, overcoming complex biological and translational aspects in diverse projects. Proficient in understanding and analysing various flavours of next generation "omics" data with particular experience in Breast and Gynaecological Cancers. Capable of creating, developing, testing, and deploying highly diverse yet problem-specific code to achieve data integration via pattern recognition, classification, and statistical models.
Areas of Expertise
Computational Cancer Research
Extensive experience of computational aspects in cancer research particularly involving Breast and Gynaecological cancers data from clinical trials, study consortiums, and Biobanks.
Next Generation Sequencing
Development of customised and automated data analysis pipelines for various types of omics data such as genomics, transcriptomics, epigenomics etc for multiple projects.
Clinical Trials Support
Vast experience of computational-omics data handling and processing of complex clinical trials. Work alongside a team of esteemed clinicians, laboratory researchers, and academics in a highly collaborative environment.
Single-Cell-Omics
Optimisation and implementation of various gold-standard and customised tools for variety of omics data from single-cell sequencing studies.
Scientific Programming
Development and maintenance of small-scale data mining resources, Virtual Private Servers, High Performance Computing (HPC) resource and storage management (Group-level), Wiki-server, and targeted programming using various languages and tools.
Machine Learning and Artificial Intelligence
Current interest in AI & ML implementation on PanCancer and single-cell omics.