We conduct research in data science and statistics, focusing on diverse applications. We develop innovative machine learning models for image processing, medicine, and financial forecasting. In statistics, we concentrate on probabilistic machine learning, finite mixtures, survival analysis, and time-series analysis. We explore rule-based, machine learning and AI approaches for NLP. Our recent focus is on fair and transparent machine learning and recommender systems. We also study complex systems using network science in social, biological, and financial networks. Our developments apply across fields like image processing and social network analysis.