Bridging experimental materials science and machine learning to solve complex, data-scarce problems. I specialize in extracting maximum insight from limited datasets through intelligent experimental design and physics-informed algorithms.
Experience
Graduate Research Assistant
Northeastern University
Developing novel CNT assemblies with ML-guided parameter optimization. Built automated Python pipelines for data collection and analysis.
Graduate Teaching Assistant
Northeastern University
Teaching thermodynamics, fluid mechanics, MLOps, and mechanics of materials lab to 150+ students per semester.