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Param-Intelligence (PI) Lab, led by Prof. Ameya D. Jagtap, is at the forefront of developing trustworthy, explainable, interpretable, and scalable scientific machine learning algorithms. Lab’s research interests encompass scientific machine learning, physics & data-driven methods, trustworthy machine learning (ML) algorithms for scientific computations, and parallel algorithms. In particular, the lab is interested in tackling different problems in computational physics including inverse problems, high-dimensional problems, Fractional and Non-local PDEs, Stochastic PDEs, etc.