Víctor Leiva

Dr. Víctor Leiva is a Full Professor at the School of Industrial Engineering, Pontificia Universidad Católica de Valparaíso, Chile. He earned his degree in Statistics from the same university and completed his PhD in Statistics and Operational Research at the University of Granada, Spain. He pursued postdoctoral studies in Data Science for Business and Industry at McMaster University, Canada. Dr. Leiva is an internationally renowned researcher, a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE), and an Elected Member of the International Statistical Institute (ISI). He serves as the Editor-in-Chief of the Chilean Journal of Statistics and as an editor for several prestigious international journals. His research interests encompass artificial intelligence, big data, data science, machine learning, non-Gaussian distributions, multivariate analysis, operational research, quality control, and statistical modeling. Dr. Leiva's research has been continuously funded by the National Research and Development Agency (ANID) of the Chilean government through Fondecyt projects, consistently earning outstanding ratings for 21 consecutive years. He has authored approximately 300 scientific articles, and his contributions have been recognized with numerous honors and awards. Notably, he has served on high-profile committees, including the Karl Pearson Prize selection committee in 2013, considered the ``Nobel Prize of Statistics'', awarded by the ISI. In 2021-2024 (released in 2025) Research.com ranked him as the top scientist in mathematics in Chile and Hispanic America. Ranked among the World’s Top 2% Scientists (2022–2025). His h-index is 58 (Google Scholar), 51 (Scopus), and 49 (Web of Science). For further details, visit his website at www.victorleiva.cl.