Daniel Recoskie
About Daniel Recoskie
Daniel Recoskie is a Machine Learning Researcher at Borealis AI in Montreal, Quebec, Canada, where he has worked since 2018. He holds a Bachelor of Science from the University of Guelph, a Master of Mathematics, and a Doctor of Philosophy in Computer Science from the University of Waterloo.
Work at Borealis AI
Daniel Recoskie has been employed at Borealis AI since 2018, serving as a Machine Learning Researcher. His role involves conducting advanced research in machine learning, contributing to the development of innovative AI solutions. Borealis AI is known for its focus on artificial intelligence and machine learning applications, and Recoskie's work supports the organization's mission to drive AI advancements.
Education and Expertise
Daniel Recoskie holds a Doctor of Philosophy (PhD) in Computer Science from the University of Waterloo, which he completed from 2014 to 2018. Prior to that, he earned a Master of Mathematics in Computer Science from the same institution, studying from 2012 to 2014. His academic journey began at the University of Guelph, where he obtained a Bachelor of Science (BSc) in Computing and Information Science from 2008 to 2012. This educational background provides him with a strong foundation in computer science and machine learning.
Background
Daniel Recoskie's academic background includes a comprehensive study of computer science and information science. He completed his undergraduate studies at the University of Guelph, followed by advanced degrees at the University of Waterloo. His educational path reflects a commitment to understanding complex computational theories and practices, which he applies in his current research role.
Achievements
Daniel Recoskie has made significant contributions to the field of machine learning through his research at Borealis AI. His academic qualifications and ongoing research efforts demonstrate his expertise in the domain. While specific achievements are not detailed, his role as a Machine Learning Researcher indicates active participation in projects that advance AI technology.