Noble Saji Mathews

Noble Saji Mathews is a highly skilled researcher and software engineer with extensive experience in software engineering and related fields. Currently serving as a Research Collaborator at IBM, Noble focuses on generating source code graph representations using Graph Transformers for Software Engineering research. Concurrently engaged in a Bachelor Thesis at the Indian Institute of Technology, Tirupati, on Reinforcement Learning for Combinatorial Optimization, and holding a position as a Student Researcher at the University of Waterloo within the Software Architecture Group. Noble's notable previous roles include developing a language-agnostic dependency analyzer at DeepSource and working on automated vulnerability analysis frameworks during a Mitacs Globalink Research Scholar internship. Noble holds a Bachelor of Technology degree in Chemical Engineering from the Indian Institute of Technology, Tirupati, and has participated in the MLH Fellowship, enhancing software engineering skills.