POSTDOCTORAL ASSOCIATE , Plasma Science and Fusion Center (PSFC), to carry out fundamental and applied research in support of the Fusion Energy Data Ecosystem and Repository (FEDER) FIRE collaborative, targeting the creation and implementation of a scalable data infrastructure for fusion energy research; work in the Disruptions group (https://disruptions.mit.edu/) and focus on data management and workflow development, integrating diverse data sources (including simulation, experimental, and engineering data), and ensuring compliance with data standards, besides leading/supporting applications development and experiment realizations on DIII-D and international tokamaks; support the creation and validation of machine learning models, particularly in areas like plasma disruption and stability, and plasma-material interaction, and ensure these models are fully integrated into FEDER for use across the fusion energy community; make original research contributions to the PSFC program; produce work for publication, present work at scientific conferences, and mentor graduate and undergraduate students.