Eulalia Kangwongnuah

Eulalia Kangwongnuah is an assistant lecturer in Academic City University’s Department of Computational Science. Her expertise spans statistical modelling, machine learning, regression analysis, climate change, public health, and data science. Her work connects quantitative analysis with socially relevant applications in health, climate and evidence-informed decision-making. She teaches data science, business intelligence, and machine learning, helping students apply theory to practical and professional contexts. She holds an MSc in Data Science from Middlesex University’s Dubai campus and a BSc in Mathematics with Statistics from the University for Development Studies, and is currently pursuing a PhD. She contributes to experiential, context-responsive education and interdisciplinary collaboration at Academic City. Her academic profile reflects a commitment to rigorous teaching, student development, and the responsible application of knowledge. Her approach encourages critical inquiry, collaboration, and practical problem-solving across disciplinary and professional boundaries.