معرفی
Pekka Malo is a tenured Associate Professor of Statistics at Aalto University School of Business in the Department of Information and Service Management, specializing in optimization, machine learning, and their applications to sustainable resource management. He holds a PhD in quantitative methods from the University of Helsinki, an M.Sc. in mathematics, and an M.Sc. in Finance from Helsinki School of Economics. His research bridges computational methods with real-world decision-making challenges in business, environment, and public policy.
Education:
- PhD in Quantitative Methods, University of Helsinki
- M.Sc. in Mathematics, University of Helsinki
- M.Sc. in Finance, Helsinki School of Economics
Research Interests: Focus on multi-objective optimization, machine learning applications in decision support systems, and computational methods for sustainable natural resource management. His work integrates advanced statistical techniques with domain-specific challenges in forestry, taxation, and healthcare. Notable contributions include synthetic control methods for policy evaluation, bilevel optimization frameworks, and explainable AI systems.
Awards:
- 2nd Place, Best Paper Nomination at GECCO 2020
- Helsinki School of Economics Award for High Quality Thesis (2007)
- Best Paper Award for 'Semantic Content Filtering with Wikipedia and Ontologies' (2010)
Advising & Grants: Active in guiding interdisciplinary research projects involving multi-criteria decision analysis, with funding from芬兰科学院 and industry collaborations. His work on forest management optimization has been supported by environmental policy grants.
