Danish is a lead bioinformatician in MTM where he provides insights from large datasets to understand the biology and therapeutic potential of drug targets in oncology space. He has several years of experience consulting with biotech companies for target identification, evaluation of valuable drug assets, disease indication selection and biomarker development for clinical trials. Prior to this, Danish completed his postdoctoral training in the University of Cambridge and the European Bioinformatics Institute where he worked on integration of multi-omics data to address key questions related to genomic regulation of signalling networks in cancer and characterization of the tumour-immune microenvironment in treatment-naive and treatment-resistant patient populations. Originally from India, Danish has a bachelor’s degree in Biotechnology and a master’s degree in Bioinformatics. He moved to the UK to pursue doctoral studies in computational oncology in the University of Manchester.