Everaldo Marques de Aguiar Junior
Research interests
- Learning analytics
- Computer security
- Machine learning
Education
- PhD in Computer Science, University of Notre Dame
- MS in Computer Science, University of Notre Dame
- BS in Computer Science, Midwestern State University
Biography
Everaldo Aguiar is a part-time lecturer at the Khoury College of Computer Sciences at Northeastern University’s Seattle campus. His research focuses on the field of learning analytics.
Aguiar received his doctorate from the University of Notre Dame, where he was affiliated with the Interdisciplinary Center for Network Science and Applications. His doctoral research focused on the development, deployment and evaluation of machine learning models to detect students who may be at risk of underachieving their academic goals ahead of time. He was a fellow at the Eric and Wendy Schmidt Data Science for Social Good Fellowship, and a visiting researcher at the Center for Data Science and Public Policy at the University of Chicago. There, through a variety of partnerships with large school districts, Aguiar was able to incorporate his predictive models to early warning systems that continuously monitor hundreds of thousands of students, informing educators when individual attention to a particular student may be needed.
Aguiar has years of experience in the industry. He has worked as a data science manager at Shopify, where he led a team that developed models and automations to help merchants across the globe through their entrepreneurial journey. Before that, Aguiar was a data science manager and data scientist at Concur Technologies in Bellevue, Washington. Currently, he is the senior engineering manager of data science at PagerDuty.
Aguiar grew up in João Pessoa on the east coast of Brazil, where he attended high school and began his college career. An opportunity came to him to complete his computer science degree in the United States and nearly 10 years later, he is still here.
Research interests
- Learning analytics
- Computer security
- Machine learning
Education
- PhD in Computer Science, University of Notre Dame
- MS in Computer Science, University of Notre Dame
- BS in Computer Science, Midwestern State University
Biography
Everaldo Aguiar is a part-time lecturer at the Khoury College of Computer Sciences at Northeastern University’s Seattle campus. His research focuses on the field of learning analytics.
Aguiar received his doctorate from the University of Notre Dame, where he was affiliated with the Interdisciplinary Center for Network Science and Applications. His doctoral research focused on the development, deployment and evaluation of machine learning models to detect students who may be at risk of underachieving their academic goals ahead of time. He was a fellow at the Eric and Wendy Schmidt Data Science for Social Good Fellowship, and a visiting researcher at the Center for Data Science and Public Policy at the University of Chicago. There, through a variety of partnerships with large school districts, Aguiar was able to incorporate his predictive models to early warning systems that continuously monitor hundreds of thousands of students, informing educators when individual attention to a particular student may be needed.
Aguiar has years of experience in the industry. He has worked as a data science manager at Shopify, where he led a team that developed models and automations to help merchants across the globe through their entrepreneurial journey. Before that, Aguiar was a data science manager and data scientist at Concur Technologies in Bellevue, Washington. Currently, he is the senior engineering manager of data science at PagerDuty.
Aguiar grew up in João Pessoa on the east coast of Brazil, where he attended high school and began his college career. An opportunity came to him to complete his computer science degree in the United States and nearly 10 years later, he is still here.