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Olushina Olawale Awe

Affiliateship: 2019-2023

Cohort 4

Country (Nationality)

Nigeria

Discipline

Mathematical Sciences

Bio

Awe is the LISA 2020 Outreach and Engagement Ambassador to Africa in the USAID Sponsored Laboratory for Interdisciplinary Statistical Analysis (LISA) Program of the University of Colorado, Boulder, USA.  He holds M.Sc., Ph.D. (Statistics) from the University of Ibadan and MBA (Finance) from the Obafemi Awolowo University, Ile-Ife, Nigeria. He was a visiting scholar and statistical collaborator at the Department of Statistics, Virginia Tech, USA and BECCA Lab of the University of Pennsylvania, from September 2013 to September 2014 and the Federal University of Bahia in Brazil (2020/2021). He has presented scientific papers at several international conferences and served as a facilitator for various capacity-building workshops in Nigeria and beyond. He was a training consultant for the International Institute for Tropical Agriculture (IITA), Ibadan on their Data Management Course, which had participants from Congo, Senegal, Sierra Leone, Ivory Coast, Nigeria and Ghana. He is an International Research Fellow at the Institute of Mathematics, Statistics and Scientific Computing, University of Campinas, Brazil.

He is a member of several professional organizations including Nigerian Statistical Association, International Biometric Society, Elected Member of International Statistical Institute (ISI), International Society for Bayesian Analysis, American Statistical Association, World Association of Young Scientists (WAYS), as well as a council member of the International Society for Business and Industrial Statistics (ISBIS) from 2017-2021. He is also a fellow of the African Scientific Institute (ASI), USA and a country coordinator (Nigeria) in the International Statistical Literacy Program (ISLP) of ISI, Netherlands. He was appointed as a Professor and PhD Advisor at Global Humanistic University, Curacao in June 2020. 

He created the first LISA 2020 Laboratory in Africa in October, 2014 (www.lisa2020.org). Professor Awe has great passion for research capacity strengthening of early career researchers and he believes in identifying the remote problems affecting the society through research and engaging policy makers to solve them. His research interests includes computational statistics, machine learning, econometric time series analysis with applications in medicine and environment.