Dr. Norli Anida is an applied statistician specializing in statistical modeling, discriminant analysis, predictive analytics, and data-driven decision-making. Her work focuses on translating quantitative methods into practical solutions across interdisciplinary domains, including medical statistics, environmental analytics, educational innovation, and talent development. Her research in craniomaxillofacial statistics has contributed to predictive modelling and applied medical analytics, while her recent work extends to water quality assessment, industry-focused quantitative modelling, and AI-enhanced educational systems. She currently leads several funded research and innovation projects, including the development of valuation and risk management models for oil portfolios under a university–industry talent building collaboration with PETCO, as well as exploratory data analysis and principal component analysis of Sungai Klang, Skudai and Perai Basin water quality with PSTW. Dr. Norli is also the Principal Investigator & Founder for The DegreeMate App, an AI-driven initiative that supports personalized academic pathways aligned with industry demand, and serves as a co-researcher and trainer for The Entrepreneurial University Programme (The Catalyst Project), an international initiative on innovation and entrepreneurship in higher education. In addition, she is involved as a co-researcher in the Ministry of Higher Education (MOHE), Malaysia project, Hala Tuju Penyelidikan KPT dalam RMKe-13. Since 2021, Dr. Norli has served as the Managing Editor of the Journal of Statistical Modeling and Analytics (JOSMA), where she has played an active role in strengthening the journal’s publication quality and visibility. The journal is currently under evaluation for indexing in Scopus and Web of Science. In teaching and learning innovation, Dr. Norli received the E-Learning Innovative Award and was selected as a finalist for the Anugerah Khas YB Menteri Pendidikan Tinggi: Rekabentuk Kurikulum dan Penyampaian Inovatif (AKRI) for her project on integrating traditional mathematics tutorials with AI tools. She is passionate about leveraging statistics, analytics, and technology to strengthen evidence-based practices, foster innovation in education, and nurture future STEM talents.