Ghalib Bello
About Ghalib Bello
Ghalib Bello is a Machine Learning Engineer with a strong academic background in Physics and Biostatistics. He has held various research and academic positions, including roles at the Oklahoma Medical Research Foundation, Imperial College London, and the Icahn School of Medicine at Mount Sinai.
Current Role at Captify
Ghalib Bello has been serving as a Machine Learning Engineer at Captify since 2019. In this role, he focuses on developing and implementing machine learning algorithms to enhance data-driven decision-making. His work contributes to optimizing search intelligence and improving the overall performance of the company's advertising technology.
Previous Experience in Research and Academia
Before joining Captify, Ghalib Bello held several positions in research and academia. He worked as a Postdoctoral Fellow at the Oklahoma Medical Research Foundation from 2014 to 2015. He then served as a Research Analyst at Arbor Research Collaborative for Health from 2015 to 2016. Following this, he was an Assistant Professor at the Icahn School of Medicine at Mount Sinai from 2016 to 2017, and later worked as a Research Associate at Imperial College London from 2017 to 2019.
Educational Background
Ghalib Bello earned his Bachelor's degree in Physics from Whittier College. He furthered his education at Virginia Commonwealth University, where he completed his Doctor of Philosophy (Ph.D.) in Biostatistics. This strong educational foundation supports his expertise in machine learning and data analysis.
Professional Timeline
Ghalib Bello's professional journey includes various roles that span multiple years and institutions. He began his career as a Postdoctoral Fellow in 2014, followed by positions as a Research Analyst and Assistant Professor. His tenure at Imperial College London lasted from 2017 to 2019, after which he transitioned to Captify. His cumulative experience in research and machine learning spans over a decade.