Pablo Cingolani serves as the Senior Director of Engineering for Oncology Data Science, Data Analytics, and AI Platforms at AstraZeneca, where he spearheads innovative projects that integrate cutting-edge bioinformatics with advanced data science techniques. With over two decades of experience managing technology and engineering teams,...
Pablo Cingolani serves as the Senior Director of Engineering for Oncology Data Science, Data Analytics, and AI Platforms at AstraZeneca, where he spearheads innovative projects that integrate cutting-edge bioinformatics with advanced data science techniques. With over two decades of experience managing technology and engineering teams, including overseeing groups of up to 400 professionals, Pablo has established himself as a pivotal figure in the intersection of genomics and oncology research. His leadership is instrumental in harnessing state-of-the-art data analytics and artificial intelligence to enhance both early and late-stage oncology research, ultimately aiming to accelerate the development of targeted therapies.
Pablo’s expertise in next-generation sequencing (NGS) methodologies, coupled with his proficiency in algorithms and machine learning, positions him at the forefront of computational biology. His work involves the development and application of sophisticated algorithms that analyze complex genomic data, enabling the identification of novel biomarkers and therapeutic targets. His role encompasses leading engineering teams across diverse domains, including genomics, proteomics, computational pathology, and radiology, ensuring a cohesive approach to data integration and analysis.
Notably, Pablo is the author of SnpEff and SnpSift, tools that have become essential in the bioinformatics community for variant annotation and filtering. His commitment to high-performance computing and cloud technologies further enhances AstraZeneca's capabilities in managing and analyzing vast datasets, driving forward the company's mission to transform cancer care through data-driven insights. Through his visionary leadership, Pablo Cingolani continues to push the boundaries of what is possible in oncology research, making significant strides in the application of data science and AI to improve patient outcomes.
