Pekka Malo

Professori (Associate professor)
Professori (Associate professor)
E704 Dept. Information and Service Management

Pekka Malo is a tenured Associate Professor of Statistics in the Department of Information and Service Management at Aalto University School of Business, Finland. He has a PhD degree in quantitative methods and M.Sc. degree in finance from Helsinki School of Economics. He also holds M.Sc. degree in mathematics from University of Helsinki. Before joining the department he worked as a business simulation developer at Cesim and head of research at Fosta Consulting. He has also worked as a visiting scholar in computational optimization and innovation laboratory at Michigan State University in the Depertment of Mechanical Engineering and Computer Science. His research interests include optimization, evolutionary computation, semantic information retrieval, computational statistics and machine learning, and their applications to marketing, finance, and healthcare.

Full researcher profile
https://research.aalto.fi/...
Phone number
+358403538071

Areas of expertise

, 512 Liiketaloustiede, 112 Tilastotiede, 111 Matematiikka, 113 Tietojenkäsittely ja informaatiotieteet, Laskennallinen data-analyysi, Tilastotiede, Sovellettu matematiikka

Honors and awards

Best Paper Nomination (2nd place) in the Genetic and Evolutionary Computation Conference (GECCO) 2020

Palkinto tai huomionosoitus tuotoksesta Tieto- ja palvelujohtamisen laitos Jun 2020

Helsinki School of Economics award for high quality thesis

Palkinto tai huomionosoitus tuotoksesta Tieto- ja palvelujohtamisen laitos Jan 2007

Best paper award for the paper “Semantic Content Filtering with Wikipedia and Ontologies” in Semantic Aspects in Data Mining

Palkinto tai huomionosoitus tuotoksesta Tieto- ja palvelujohtamisen laitos Jan 2010

Publications

Modeling project interactions in multiattribute portfolio decision analysis : Axiomatic foundations and practical implications

Juuso Liesiö, Taeyoung Kee, Pekka Malo 2024 European Journal of Operational Research

Computing Synthetic Controls Using Bilevel Optimization

Pekka Malo, Juha Eskelinen, Xun Zhou, Timo Kuosmanen 2024 Computational Economics

Assessing economic benefits and costs of carbon sinks in boreal rotation forestry

Vesa-Pekka Parkatti, Antti Suominen, Olli Tahvonen, Pekka Malo 2024 Forest Policy and Economics

Predicting Visit Cost of Obstructive Sleep Apnea using Electronic Healthcare Records with Transformer

Zhaoyang Chen, Lina Siltala-Li, Mikko Lassila, Pekka Malo, Eeva Vilkkumaa, Tarja Saaresranta, Arho Veli Virkki 2023 IEEE Journal of Translational Engineering in Health and Medicine

Private firms’ tax aggressiveness and lightweight pre-tax-audit interventions by the tax administration

Hannu Ojala, Pekka Malo, Esko Penttinen 2023 Journal of International Accounting, Auditing and Taxation

Generating Research Questions from Digital Trace Data: A Machine Learning Method for Discovering Patterns in a Dynamic Environment

Henrik Kallio, Pekka Malo, Timo Lainema, Johanna Bragge, Tomi Seppälä, Esko Penttinen 2022 Communications of the Association for Information Systems

SEntFiN 1.0

Ankur Sinha, Satishwar Kedas, Rishu Kumar, Pekka Malo 2022 JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY

Optimizing high-dimensional stochastic forestry via reinforcement learning

Olli Tahvonen, Antti Suominen, Pekka Malo, Lauri Viitasaari, Vesa-Pekka Parkatti 2022 Journal of Economic Dynamics and Control

Sociotechnical Envelopment of Artificial Intelligence: An Approach to Organizational Deployment of Inscrutable Artificial Intelligence Systems

Aleksandre Asatiani, Pekka Malo, Per Rådberg Nagbøl, Esko Penttinen, Tapani Rinta-Kahila, Antti Salovaara 2021 Journal of the Association for Information Systems

Reinforcement Learning in Optimizing Forest Management

Pekka Malo, Olli Tahvonen, Antti Suominen, Philipp Back, Lauri Viitasaari 2021 Canadian Journal of Forest Research