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Tomohiro Ando is a Professor of Management (Business Administration) at Melbourne Business School, and a Professorial Fellow at Faculty of Business Economics, University of Melbourne. His work spans business analytics, econometrics, artificial intelligence, strategy, and sustainability.
Before joining Melbourne Business School in 2015, he held continuing and visiting academic and professional appointments at institutions including the University of California, Berkeley; the University of Chicago; the University of California, Los Angeles; the University of Tokyo; and Keio University. He works with academic, government, industry, and not-for-profit organisations to apply advanced analytics to complex strategic and societal challenges.
Before joining Melbourne Business School in 2015, he held continuing and visiting academic and professional appointments at institutions including the University of California, Berkeley; the University of Chicago; the University of California, Los Angeles; the University of Tokyo; and Keio University. He works with academic, government, industry, and not-for-profit organisations to apply advanced analytics to complex strategic and societal challenges.
Academic leadership and professional service: At the University of Melbourne, Professor Ando has contributed to academic leadership through university and faculty committees, research initiatives, major grant development, and industry engagement. From 2020 to 2025, he served as Director of the Centre of Excellence in Big Data, AI and Analytics. He was also Academic Convenor of the Melbourne Centre for Data Science from 2020 to 2024. At Melbourne Business School, he has served as Co-Director of the PhD Program and coordinated more than ten analytics projects. His professional service includes assessing research grants, reviewing academic programs, participating in award and scholarship selection, evaluating tenure and promotion cases, and examining PhD theses. He has also contributed to diversity and inclusion initiatives and led the Women in Industry Awards Committee. Professor Ando is an Associate Editor of Statistics and Computing and previously served as an Associate Editor of Econometrics from 2012 to 2023. He regularly reviews for journals including The Annals of Statistics, Biometrika, the Journal of the American Statistical Association, the Journal of Econometrics, and the Journal of the Royal Statistical Society: Series B.
Industry and community engagement: Through consulting and collaborative projects, Professor Ando has worked with organisations across strategy, marketing, human resources, supply-chain management, financial analytics, artificial intelligence, and machine learning. His work encompasses private-sector, public-sector, and not-for-profit organisations. His community engagement includes leading a project for a not-for-profit organisation that helps women, non-binary, and gender-diverse jobseekers develop career readiness, secure meaningful employment, and thrive in the workplace.
Research and Recognitions: Professor Ando’s research has appeared in internationally recognised journals, including The Annals of Statistics, Biometrika, the Journal of the American Statistical Association, the Journal of Econometrics, and Management Science. He has received more than ten competitive research grants from government and funding organisations, including the Australian Research Council and the Japan Society for the Promotion of Science. His paper with Jushan Bai, “Selecting the Regularization Parameters in High-Dimensional Panel Data Models: Consistency and Efficiency,” was published in Econometric Reviews in 2018 and received the journal’s Best Paper Award. Professor Ando received the Dean’s Certificate for Research Excellence from the Faculty of Business and Economics in 2017 and 2018. He was elected a Fellow of the Spatial Econometrics Association in 2023 and received the 2024 Academic Excellence Award in Research from Melbourne Business School.
Teaching and executive education: At Melbourne Business School, Professor Ando has taught subjects including Analytics for Strategic Management, Predictive Analytics, Data Analytics, Strategy, Consulting, and Case Studies across MBA, Executive MBA, Senior Executive MBA, and Master of Business Analytics programs. He developed and introduced the MBA subjects Analytics for Strategic Management and Predictive Analytics, strengthening the role of data-driven decision-making in business strategy. He has also taught in the Advanced Management Program for senior executives, delivered professional training in machine learning for the Australian Government, and conducted customised programs such as Big Data Analytics for Sustainability. Earlier in his academic career, he supervised PhD students while serving at the University of California, Los Angeles.
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Industry and community engagement: Through consulting and collaborative projects, Professor Ando has worked with organisations across strategy, marketing, human resources, supply-chain management, financial analytics, artificial intelligence, and machine learning. His work encompasses private-sector, public-sector, and not-for-profit organisations. His community engagement includes leading a project for a not-for-profit organisation that helps women, non-binary, and gender-diverse jobseekers develop career readiness, secure meaningful employment, and thrive in the workplace.
Research and Recognitions: Professor Ando’s research has appeared in internationally recognised journals, including The Annals of Statistics, Biometrika, the Journal of the American Statistical Association, the Journal of Econometrics, and Management Science. He has received more than ten competitive research grants from government and funding organisations, including the Australian Research Council and the Japan Society for the Promotion of Science. His paper with Jushan Bai, “Selecting the Regularization Parameters in High-Dimensional Panel Data Models: Consistency and Efficiency,” was published in Econometric Reviews in 2018 and received the journal’s Best Paper Award. Professor Ando received the Dean’s Certificate for Research Excellence from the Faculty of Business and Economics in 2017 and 2018. He was elected a Fellow of the Spatial Econometrics Association in 2023 and received the 2024 Academic Excellence Award in Research from Melbourne Business School.
Teaching and executive education: At Melbourne Business School, Professor Ando has taught subjects including Analytics for Strategic Management, Predictive Analytics, Data Analytics, Strategy, Consulting, and Case Studies across MBA, Executive MBA, Senior Executive MBA, and Master of Business Analytics programs. He developed and introduced the MBA subjects Analytics for Strategic Management and Predictive Analytics, strengthening the role of data-driven decision-making in business strategy. He has also taught in the Advanced Management Program for senior executives, delivered professional training in machine learning for the Australian Government, and conducted customised programs such as Big Data Analytics for Sustainability. Earlier in his academic career, he supervised PhD students while serving at the University of California, Los Angeles.
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