Pablo Montero Manso

Dr. Pablo Montero-Manso is a Lecturer in the Discipline of Business Analytics at the University of Sydney. His research focuses on Machine Learning and Statistics for Time Series Analysis, particularly in clustering, classification, and forecasting. He has developed methodologies for automatic forecasting on large datasets and applied his work to pandemic modeling during the 2020–2021 pandemic. His open-source tools (e.g., tsfeatures, TSclust) are widely used in academia and industry.

Education: PhD from the University of A Coruña, Spain (pre-Sydney postdoc at Monash University).

Research Interests: Time series forecasting, machine learning applications in energy and public health, automated ensemble models, and clustering algorithms for large datasets. His work bridges theoretical advancements with practical tools for real-world challenges.

Recent articles include contributions to renewable energy scheduling, pandemic forecasting, and AI-driven decision-making in business. He leads projects like the Augmented Judgments grant exploring AI-human collaboration in product launches.

Labs/Teams: Maintains active collaborations through open-source projects and academic networks in statistics and data science.