Patrick L. is a Ph.D. candidate in software engineering with a keen focus on integrating AI and software engineering to enhance system effectiveness. His research centers on mining software developers’ knowledge to inform AI system development. Proficient in data analysis, visualization, machine learning, and deep learning, he excels in extracting insights from complex datasets. With expertise in cloud technologies, he aims to drive innovation in software engineering. Patrick has a rich professional background, having worked as a data scientist, cloud engineer, and software developer. Additionally, he has experience as a scientific assistant and lecturer, contributing to academia while pursuing his research interests. Patrick’s dedication to advancing AI integration in software engineering is evident through his academic pursuits and practical experiences.
Professional Profile:
Scopus
🎓 Education:
Patrick is a Ph.D. candidate in Software Engineering at École Polytechnique de Montréal, Canada. He holds an M.A.Sc. in Software Engineering from the Université des Montagnes, Cameroon, and a B.Sc. in Computer Science from the same institution.
🔬 Research:
Patrick specializes in integrating AI and software engineering, focusing on mining software developers’ knowledge to guide AI system development. His expertise includes data analysis, visualization, machine learning, and deep learning.
đź’Ľ Professional Experience:
Patrick has served as a Data Scientist at Autorité des marchés financiers, where he conducted exploratory data analysis and implemented clustering algorithms. He also has experience as a Scientific Assistant at IVADO and has worked as a Cloud Engineer at Cloudconseils.
Publication Top Notes:
1.Studying logging practice in machine learning-based applications
- Authors: P.L. Foalem, F. Khomh, H. Li
- Journal: Information and Software Technology
- Published Year: 2024