We work on different formulations of Sequential Learning and Inference problems, namely real-time anomaly detection, reinforcement learning, and supervised learning (parametric hypothesis testing and change detection) with applications in several interdisciplinary topics, such as communication assistant for stroke-related speech disorders in collaboration with medical doctors, sea level rise scenario planning in collaboration with urban planners, and permafrost thaw monitoring with geoscientists.