My research lies in the field of Physics-informed machine learning (PIML) and deep learning with an emphasis on theory, algorithms, and applications of optimization, machine learning, representation learning, statistical sampling and anomaly detection. Currently, I am working on machine learning methods to analyze multimodal time-series data in the climate system using Python, Scikit-learn, Keras, and PyTorch.