Lennon Jason Shikhman

Neural operators, operator learning, physics-informed neural networks (PINNs), scientific machine learning, learning-based PDE solvers, open-set and open-vocabulary learning, out-of-distribution generalization, foundation models for structured data, representation learning under distribution shift, probabilistic deep learning, uncertainty-aware and calibration-aware ML models