Tomohiro Ando
Professor of Management
Tomohiro Ando is a Professor of Management (Business Administration).
Before he joined Melbourne Business School in 2015, he previously held a regular faculty and visiting faculty positions at University of California Berkeley, the University of Chicago, University of California Los Angeles and Keio University.
At Melbourne Business School, he served as Co-director of the Ph.D. program and the coordinator of 10+ analytics projects. He also works with wide range of industries through private consulting, including strategy review, marketing analytics, HR analytics, supply chain analytics, financial analytics related projects. Not only serving to for-profit organisations, he also serves for 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.
His teaching experience include "Analytics for Strategic Management", "Case Studies", "Consulting", "Data Analytics", "Strategy" subjects at the Senior Executive MBA, Executive MBA, Part-time MBA and Master of Business Analytics programs. He also taught at Advanced Management Program, designed for senior executives, and delivered professional training "Machine Learning" for the Australian government. Outside of MBS, he occasionally delivers customized sessions for e.g., "Analytics for sustainability".
He is the Director of Centre of Excellence: Big Data, AI and Analytics, and Co-organiser of the online seminar series "Frontiers of Big Data, AI and Analytics". He is also an academic convenor of the Melbourne Centre of Data Science, which is built out of a joint collaboration between Statistics and Computer Science at University of Melbourne.
His research has appeared in Annals of Statistics, Biometrika, Journal of the American Statistical Association, Journal of Econometrics, Management Science, and other distinguished publications. 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.
Recent Publications
‘Simplex quantile regression under model misspecification’, Ando, T. & Li, K.-C., 2024, Annals of Statistics, forthcoming.
‘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, forthcoming.
‘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.
‘Bayesian and maximum likelihood analysis of large-scale panel choice models with unobserved heterogeneity’, Ando, T. Bai, J. & Li, K. 2022, Journal of Econometrics.
‘Quantile co-movement in financial markets: A panel quantile model with unobserved heterogeneity’, Ando, T. & Bai, J., 2020, Journal of the American Statistical Association.
