Practical Statistical Learning and Data Science Methods: Case Studies from LISA 2020 Global Network, USA (STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & Health)

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O. Olawale Awe holds a PhD in Statistics from the University of Ibadan, Nigeria, and an MBA from Obafemi Awolowo University, Ile-Ife, Nigeria. He currently serves as the Vice President of the International Association for Statistics Education (IASE). His affiliations include being an Elected Council Member of the International Statistics Institute (ISI), Vice President of Global Statistical Engagements of the LISA 2020 Global Network, USA, and a research professor and machine learning team leader at the Statistical Learning Laboratory (SaLLy) of the Federal University of Bahia, Brazil. He has published more than 100 research papers in international and national journals and conferences, and he has also published five books and monographs. As the pioneering LISA Fellow of the LISA 2020 Global Network at the University of Colorado, Boulder, USA, he has significantly contributed to the global statistical community.

Eric A. Vance is an Associate Professor of Applied Mathematics and the Director of the Laboratory for Interdisciplinary Statistical Analysis (LISA) at the University of Colorado Boulder, USA. He is the Director of the LISA 2020 Global Network. He is an Elected Member of the ISI and a Fellow of the American Statistical Association (ASA). Dr. Vance researches what individual statisticians and data scientists need to know to become effective interdisciplinary collaborators and what institutions can do to promote interdisciplinary collaboration to make data-driven decisions. He was the 2023 winner of the ASA’s W.J. Dixon Award for Excellence in Statistical Consulting.