Tomohiro Ando

Tomohiro Ando is a Professor of Management (Business Administration).

Before joining Melbourne Business School in 2015, he held regular and visiting faculty positions at the University of California, Berkeley, the University of Chicago, the University of California, Los Angeles, and Keio University.

At MBS, he has served as Co-Director of the PhD Program and as coordinator for more than ten analytics projects. He also works with a wide range of industries through private consulting, including strategy review, marketing analytics, HR analytics, supply-chain analytics, and financial-analytics projects. In addition to supporting for-profit organisations, he contributes to not-for-profit and public-sector initiatives. He recently oversaw a project for a not-for-profit organisation that supports women, non-binary, and gender-diverse jobseekers in becoming job-ready, securing meaningful employment, and thriving in their working lives.

His teaching experience includes “Analytics for Strategic Management,” “Case Studies,” “Consulting,” “Data Analytics,” and “Strategy” across the Senior Executive MBA, Executive MBA, Part-time MBA, and Master of Business Analytics programs. He has also taught in the Advanced Management Program for senior executives and delivered professional training in “Machine Learning” for the Australian government. Outside MBS, he occasionally provides customised sessions such as “Analytics for Sustainability.”

From 2020 to 2025, he served as Director of the Centre of Excellence in Big Data, AI and Analytics, Co-Organiser of the online seminar series “Frontiers of Big Data, AI and Analytics,” and Academic Convenor of the Melbourne Centre for Data Science (2020–2024).

His research has appeared in the Annals of Statistics, Biometrika, Journal of the American Statistical Association, Journal of Econometrics, Management Science, and other leading outlets. In 2023, he was elected a Fellow of the Spatial Econometrics Association. In 2024, he received the Academic Excellence Award in Research at Melbourne Business School.

Recent Publications

‘Simplex quantile regression under model misspecification’, Ando, T. & Li, K.-C., 2025, Annals of Statistics.

‘Scenario-based quantile connectedness of the U.S. interbank liquidity risk network’, Ando, T., Bai, J., Lu, L. & Vojtech, C.M. 2024, Journal of Econometrics.

‘A spatial panel quantile model with unobserved heterogeneity’, Ando, T. Li, K. & Lu, L. 2023, Journal of Econometrics.

‘Quantile Connectedness: Modelling Tail Behaviour in the Topology of Financial Networks’, Ando, T. Greenwood-Nimmo. M. & Shin, Y. 2022, Management Science.

‘Quantile co-movement in financial markets: A panel quantile model with unobserved heterogeneity’, Ando, T. & Bai, J., 2020, Journal of the American Statistical Association.