Tomohiro Ando is a Professor of Management (Business Administration), Melbourne Business School, University of Melbourne. Before joining Melbourne Business School in 2015, he held a number of continuing and visiting academic and professional appointments at leading institutions, including the University of California, Berkeley, the University of Chicago, the University of California, Los Angeles, the University of Tokyo, and Keio University.

At the University of Melbourne, he has contributed to academic leadership through service on working committees of the Deputy Vice-Chancellor and Pro Vice-Chancellor, and by supporting the Faculty of Business and Economics in research initiatives such as major grant applications and industry engagement. He served as the director of Centre of Excellence: Big data, AI and Analytics (2020-2025), Academic Convenor of the Melbourne Centre for Data Science (2020-2024), and as Co-Director of the Ph.D. Program at Melbourne Business School, where he also coordinated numerous analytics projects with industry partners.

His research and engagement extend beyond academia to both for-profit and not-for-profit organisations. He recently led a project supporting a not-for-profit organisation that helps women, non-binary, and gender-diverse jobseekers build career readiness and employment outcomes. He has also served on the Diversity and Inclusion Committee and lead the Women in Industry Award Committee. He regularly provides expert service to government, industry, and the academic community, including grant assessments, academic program reviews, award and scholarship selection, tenure and promotion evaluations, and Ph.D. thesis examinations.

He has been awarded 10+ competitive grants from governments and research funding organizations, including Australian Research Council, Japan Society for the Promotion of Science.

His research has appeared in Annals of Statistics, Biometrika, Journal of the American Statistical Association, Journal of Econometrics, Management Science, and other distinguished publications. His research received Best Paper Award from journal Econometric Reviews. 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.

His teaching experience include the subjects "Analytics for Strategic Management", "Consulting", "Strategy", "Case Studies", "Data Analytics" at the Senior Executive MBA, Executive 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 delivered professional training "Machine Learni

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