Building Web-Based Automation and Custom Features Using Python and the GraphQL API of HALO®
Date: 21 September 2023
Time: 8:00 – 9:00 PST | 11:00 – 12:00 EST | 16:00 – 17:00 GMT
Learn how Novartis leverages HALO’s GraphQL API to streamline oncology pipelines
- Learn how Novartis connected HALO Link to a heavily-customized eSlide Manager
- Discover how Novartis is using integrated Python scripts for image analysis and machine learning
- See how Novartis is using the GraphQL framework to streamline existing workflows
Senior Expert | Data Science
James Huessy is a Data Engineer for the Oncology Pathology Biomarkers group within the Oncology department at Novartis where he builds tools to streamline the department’s digital pathology efforts. Most notably, James has been building tools to bridge the many 3rd party backends used by the department with HALO’s backend.
Prior to this position, James was a Data Engineer in the healthcare tech sector where he built and ran pipelines to ingest terabytes of data into a centralized data warehouse. James also worked at the Department of Innovation and Technology at the City of Boston creating backend tools to bridge legacy systems and migrate data. James has a Master’s degree in Urban informatics from Northeastern University where he was a Research Assistant at the Dukakis Center for Urban and Regional Policy.