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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. Before he joined Melbourne Business School in 2015, he has held a number of continuing and visiting academic/professional roles, including at University of California Berkeley, University of Chicago, University of California Los Angeles, University of Tokyo and Keio University.
Academic/Professional Services: At University of Melbourne, he served/serves to Deputy Vice-Chancellor, Pro-Vice Chancellor as a member of their working committees. He is an academic convenor of the Melbourne Centre of Data Science, which is built out of a joint collaboration between Statistics and Computer Science. He served/serves to Faculty of Business and Economics to support their research related activities such as major grant applications and industry engagement. At Melbourne Business School, he served/serves as Co-director of the Ph.D. program and the coordinator of 10+ analytics projects. Not only serving to for-profit organisations, he also enjoys in leading projects with not-for-profit and public organisations. He recently oversaw a project of not-for-profit organisation who helps women, non-binary, and gender-diverse jobseekers to become job-ready, find meaningful employment, and thrive in their working lives. He also served as a member of diversity and inclusion committee. He provided/provides a wide range of services to government, public organizations, industry, academic community, other universities, international conferences; including academic degree program review, major grants assessments, award selection, scholarship selection, tenure/promotion recommendations, external assessors of Ph.D. theses, leading a major international conference and more. He recently chaired for women industry award committee. He is the Director of Centre of Excellence: Big Data, AI and Analytics, and Co-organizer of the online seminar series "Frontiers of Big Data, AI and Analytics". He also served for Econometrics as an associate editor (2012-2023), and serve as a reviewer for Annals of Statistics, Biometrika, Journal of the American Statistical Association, Journal of Econometrics,, Journal of Royal Statistical Society B, etc. He also works with a wide range of industries through consulting, including strategy review, marketing analytics, HR analytics, supply chain analytics, financial analytics, artificial intelligence and machine learning related projects.
Research and its Recognitions: His research has appeared in Annals of Statistics, Biometrika, Journal of the American Statistical Association, Journal of Econometrics, Management Science, and other distinguished publications. He has been awarded 10+ competitive grants from government and research funding organizations, including Australian Research Council, Japan Society for the Promotion of Science. Ando and Bai (2018) "Selecting the regularization parameters in high-dimensional panel data models: Consistency and efficiency," received Best Paper Award from journal Econometric Reviews. Ando and Bai (2023) “Large-scale generalized linear models for longitudinal data with grouped patterns of unobserved heterogeneity” published at Journal of Business & Economic Statistics is selected as one of 20 articles of special American Statistical Association editor's choice collections. In 2017 and 2018, he received the Dean's Certificate for Research Excellence from Faculty of Business and Economics. In 2023, he is elected as a fellow of Spatial Econometrics Association. He is the recipient of 2024 Academic Excellence Award in Research at Melbourne Business School.
Educational training: At Melbourne Business School, his teaching experience includes the subjects "Analytics for Strategic Management", "Case Studies", "Consulting", "Strategy", "Data Analytics" at the Senior Executive MBA, Executive MBA, Full-time MBA, Part-time MBA and Master of Business Analytics programs. He created new courses "Analytics for Strategic Management" and "Predictive Analytics" for MBA students. He also taught at Advanced Management Program, designed for senior executives, and delivers professional training "Machine Learning" for the Australian government. Outside of the university executive education, he occasionally delivers customized sessions for e.g., "Big Data Analytics for Sustainability". He also supervised Ph.D. students when he has held an academic role at University of California Los Angeles.
Publications:
Research and its Recognitions: His research has appeared in Annals of Statistics, Biometrika, Journal of the American Statistical Association, Journal of Econometrics, Management Science, and other distinguished publications. He has been awarded 10+ competitive grants from government and research funding organizations, including Australian Research Council, Japan Society for the Promotion of Science. Ando and Bai (2018) "Selecting the regularization parameters in high-dimensional panel data models: Consistency and efficiency," received Best Paper Award from journal Econometric Reviews. Ando and Bai (2023) “Large-scale generalized linear models for longitudinal data with grouped patterns of unobserved heterogeneity” published at Journal of Business & Economic Statistics is selected as one of 20 articles of special American Statistical Association editor's choice collections. In 2017 and 2018, he received the Dean's Certificate for Research Excellence from Faculty of Business and Economics. In 2023, he is elected as a fellow of Spatial Econometrics Association. He is the recipient of 2024 Academic Excellence Award in Research at Melbourne Business School.
Educational training: At Melbourne Business School, his teaching experience includes the subjects "Analytics for Strategic Management", "Case Studies", "Consulting", "Strategy", "Data Analytics" at the Senior Executive MBA, Executive MBA, Full-time MBA, Part-time MBA and Master of Business Analytics programs. He created new courses "Analytics for Strategic Management" and "Predictive Analytics" for MBA students. He also taught at Advanced Management Program, designed for senior executives, and delivers professional training "Machine Learning" for the Australian government. Outside of the university executive education, he occasionally delivers customized sessions for e.g., "Big Data Analytics for Sustainability". He also supervised Ph.D. students when he has held an academic role at University of California Los Angeles.
Publications:
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