Vahid Jalili is a computational scientist with 12 years of experience specializing in AI, high-performance cloud computing, and data-intensive bioinformatics workflows. Currently at the Broad Institute, he brings deep backend engineering skills demonstrated by contributions to the widely used Galaxy project—improving object store management and cloud authorization with integration tests for reproducible, cloud-native data analysis. His PhD work and subsequent research roles focused on scalable NGS tertiary analysis and similarity search algorithms, showing a blend of rigorous algorithmic thinking and practical system design. Comfortable bridging research and production, he excels at turning complex genomics requirements into robust, testable cloud services.
12 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy (PhD), Computer Engineering, Doctor of Philosophy (PhD), Computer Engineering at Politecnico di Milano
Contributions:3 reviews, 96 PRs, 365 comments in 4 years 5 months
Contributions summary:Vahid primarily contributed to backend functionalities, with a focus on the Galaxy tool shed and object store management. They extended the attributes reported by the system and modified the object store initialization to include user context. Furthermore, the user's work encompassed updates to cloud authorization mechanisms, including the addition of integration tests and optionality for specific cloud providers. The contributions demonstrate an understanding of the application's architecture and focus on data-related functions.
Contributions:6 releases, 78 commits, 15 PRs in 1 year 4 months
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