His research currently focuses on the use of big data to calibrate structural economic models and explain the processes of price formation as well as other financial and economic processes. He is a former Economic Researcher from the Mexican Central Bank, where he specialized in trade infrastructure, prices, regional economies and urban economics. He holds a Bachelor's Degree in both Economics and Applied Mathematics from ITAM, and a Masters and PhD in Economics from The University of Chicago, where he taught courses in Banking and International Finance.  

Miguel holds a B.A. in Economics from ITAM and a Ph.D. in Economics from Harvard University. He has combined work in government with academic research. When inflation targetting was being adopted by the Banco de México, he developed – with Lorenza Martínez and Alejandro Werner – one of the first structural models used for that purpose. He was the Chief Economist of the Ministry of Finance of Mexico, as well as Undersecretary for Revenues and Undersecretary for Finance.

Currently, Alfredo Garbuno‐Inigo is an assistant professor at Instituto Tecnológico Autónomo de México (ITAM). He has two Ba’s, one in Applied Mathematics (2012) and another in Actuarial Sciences (2013) from ITAM. He obtained an Msc in Data Science at ITAM in 2014. He obtained his PhD from the University of Liverpool School of Engineering in 2018, and held postdoctoral positions in Computing and mathematical Sciences, and Geological and Planetary Sciences at California Institute of Technology (Caltech) from 2018–2020.