Shubhabrata is a Machine Learning Postdoctoral Fellow in the Applied Mathematics and Computational Research (AMCR) Division at Berkeley Lab. He works in the Mathematics for Experimental Data Analysis (MEDA) group, applying computer vision and machine learning techniques to scientific imaging, experimental data, and computational simulations. His expertise includes microstructure analysis, visual language modeling, and physics-informed machine learning. Affiliated with the Center for Advanced Mathematics for Energy Research Applications (CAMERA), he develops advanced algorithms for multimodal scientific image data analysis to accelerate discovery at experimental facilities.

Education

• PhD| University of Missouri–Kansas City, Kansas City, United States