Saumya Sebastian
Papers
1
Total Citations
22
H-Index
1
About
Saumya Sebastian is a leading figure in the development of digital infrastructure for autonomous materials discovery. Her research sits at the critical intersection of software engineering, data science, and materials informatics, where she focuses on creating scalable, object-oriented frameworks that enable workflow evolution across diverse materials acceleration platforms (MAPs). Sebastian’s most-cited work, "An object-oriented framework to enable workflow evolution across materials acceleration platforms" (2022, 22 citations), introduces a modular, reusable architecture that allows researchers to seamlessly adapt and transfer automated experimental and computational workflows between different laboratories and hardware setups. This contribution directly addresses a major bottleneck in the field—the lack of interoperability and portability in self-driving labs—by providing a standardized, object-oriented backbone for orchestrating complex, multi-step materials synthesis and characterization campaigns. Her framework is foundational for building the next generation of collaborative, cloud-connected MAPs, accelerating the pace of discovery in areas from battery materials to catalysts. Sebastian’s work is increasingly recognized as essential for realizing the vision of a global, interconnected materials acceleration ecosystem.
Research Focus
Key Achievements
Top Papers
- 1