Layla El Asri
About Layla El Asri
Layla El Asri is a Senior Machine Learning Research Team Lead at Borealis AI, where she has worked since 2021. She has over a decade of experience in machine learning research, with a strong background in natural language processing and contributions to both academic and industry settings.
Work at Borealis AI
Currently, Layla El Asri serves as the Senior Machine Learning Research Team Lead at Borealis AI in Montreal, Quebec, Canada. She has been in this position since 2021 and leads a research team that focuses on natural language processing. Her work involves overseeing various projects that contribute to advancements in artificial intelligence, particularly in the realm of machine learning.
Education and Expertise
Layla El Asri holds a Doctor of Philosophy (PhD) in Computer Science from Université de Lorraine, which she completed from 2011 to 2016. She also earned a Master's degree in Informatics from Grenoble, specializing in Artificial Intelligence and the Web, in 2011. Additionally, she has an Engineering Degree in Computer Science and Applied Mathematics from Ecole Nationale Supérieure d'Informatique et de Mathématiques Appliquées de Grenoble, obtained in 2011. Her education is complemented by various courses, including a Machine Learning Summer School in 2014 and studies on Coursera.
Background
Layla El Asri has a diverse professional background that spans both academic and industry settings. She began her career as a Mathematics Tutor at Keepschool in 2010. Following this, she worked as a Researcher PhD Student at Orange from 2011 to 2014. She also held positions at Université de Lorraine and Microsoft, where she served as a Research Manager from 2017 to 2019. Prior to her current role, she worked as a Research Scientist at Maluuba from 2016 to 2017.
Achievements
Layla El Asri has been involved in machine learning research and development for over a decade. She has contributed to various projects and initiatives, including a collaborative blog post on large language models with colleagues W. Zi and S. Prince. Her research focuses on large language models and their applications, reflecting her commitment to advancing the field of artificial intelligence.