Laleh Tafakori

Dr. Laleh Tafakori is a Senior Lecturer in the Department of Statistics and Analytics at RMIT University's School of Science. Her research focuses on the intersection of statistical modeling, machine learning, and their applications in healthcare, finance, and environmental science. She is affiliated with the university's City Campus and can be contacted at laleh.tafakori@rmit.edu.au.

Her teaching interests include Applied Analytics, Statistical Inference, Time Series Analysis, Mathematical Statistics, Stochastic Processes, and Probability Theory. She actively supervises research projects in areas such as:

• Healthcare modeling (e.g., diabetes onset prediction, maternal risk assessment)
• Environmental data analysis (e.g., extreme precipitation estimation via satellite data)
• Financial risk analysis (e.g., Value-at-Risk forecasting, credit portfolio management)
• Machine learning applications in complex networks and smart grids

Her recent research trends emphasize predictive modeling for public health challenges, leveraging advanced statistical techniques (copula models, functional volatility) and machine learning (CNNs, random forests). She collaborates with institutions worldwide, addressing issues like Saudi Arabia's healthcare indicators and European financial systemic risk. While no formal awards are listed, her work demonstrates impactful contributions to interdisciplinary data science.

Dr. Tafakori has advised over 16 students on topics ranging from diabetes epidemiology to edge computing optimization. Her research outputs include 28+ peer-reviewed articles, with a focus on methodological innovation and real-world problem-solving. She maintains active engagement in collaborative projects without explicitly listed grants.