She works in Cellular Genetics Informatics group as a Solutions Architect helping to build large scale data infrastructure and automated data analysis pipelines to process heterogeneous data sets using hybrid on-prem and cloud computing solutions for Human Cell Atlas, resulting in achieving a more scalable solution to meet future business needs in automation.

Before joining Sanger Institute, she worked in Open Microscopy Environment (OME) Consortium based at University of Dundee in Prof. Jason R. Swedlow team. She graduated with honours from University of Technology in Lodz, Poland with a Master of Science in Engineering degree. Her main interest is in the area of building scalable solutions in healthcare and medical domain, with a focus on interoperability, reproducibility and automations.

 

22nd June 2020: 'Towards Decentralised Life-Science Imaging Data Resources - Large Scale Data Ecosystem for Single Cell Imaging.' - Aleksandra Tarkowska, Wellcome Sanger Institute, Cambridge, UK.'s image

Towards Decentralised Life-Science Imaging Data Resources – Large Scale Data Ecosystem for Single Cell Imaging.

The advancement of microscopy imaging tests the limits and pushes the boundaries of scientific studies. It often exceeds the capacity of researchers’ personal workstations and challenges the conventional data storage systems. Growing number of life-science images produced daily challenge data management systems. File system storage in not sufficient enough to organise the microscopy data. Implementing a high throughput automated workflows and data management systems, are essential because:
– they allow to integrate the heterogeneous data from decentralised data resources,
– enable programmatic access to these data,
– and support data interpretability.