Armstrong Foundjem

Registered user since Tue 12 Jan 2021

Name:Armstrong Foundjem
Bio:

I am a mixed-method researcher in the intersection of software ecosystems sustainability, certifiability of deep learning models, and the trustworthiness of such systems, as well as software engineering for machine learning applications. I am also interested in Foundational Models (FMs), human-computer interaction (HCI), underrepresented groups, social network analysis, collaborative patterns across open-source software communities, and release engineering. I Mine massive datasets, including software repositories, and apply socio-technical data science techniques to uncover patterns and empirically make informed decisions on various topics. I obtained my Ph.D. at Queen’s University in June 2022, advised by Prof. Bram Adams.

Country:Canada
Affiliation:Queen's University
Research interests:Release Engineering, Software Ecosystems, Applied Machine learning, Edge Computing

Contributions