Jiapeng Wu
About Jiapeng Wu
Jiapeng Wu is a Machine Learning Research Intern at Borealis AI and a Student Researcher at Mila, specializing in knowledge graph reasoning, natural language processing, and incremental learning. He has extensive experience in AI applications across various organizations, including Huawei and Nuance Communications.
Work at Borealis AI
Jiapeng Wu has been serving as a Machine Learning Research Intern at Borealis AI since 2021. His role involves applying machine learning techniques to various projects within the organization. Borealis AI focuses on advancing artificial intelligence through innovative research and development, and Wu contributes to this mission through his work in Vancouver, British Columbia.
Current Role at Mila
In addition to his position at Borealis AI, Jiapeng Wu is a Student Researcher in Deep Learning at Mila - Quebec Artificial Intelligence Institute. He has held this position since 2019, where he engages in research projects that explore deep learning methodologies. Mila is recognized for its contributions to AI research, and Wu's involvement supports the institute's objectives in advancing the field.
Professional Experience in AI Research
Wu has accumulated significant experience in the field of artificial intelligence through various internships and research roles. He worked as a Part-time Research Intern at Huawei Noah's Ark Lab from 2020 to 2021, and as a Software Development Intern at Nuance Communications in 2017. His background includes roles at McGill University as an Undergraduate Research Assistant and Graduate Teaching Assistant, as well as a Computer Vision Algorithm Intern at the Institute of Computing Technology in China.
Education and Expertise
Jiapeng Wu holds a Master of Science in Computer Science from McGill University, which he completed from 2019 to 2021. He also earned a Bachelor of Arts in Computer Science with a Minor in Statistics from the same institution between 2016 and 2019. His academic pursuits have equipped him with a strong foundation in computer science principles, and he specializes in knowledge graph reasoning, natural language processing (NLP), and incremental learning research.
Research Interests and Projects
Wu's research interests include exploring the cryptocurrency ecosystem as a side project. He conducts research under the supervision of Professors William Hamilton and Jackie Cheung at McGill University and Mila. His focus on knowledge graph reasoning and NLP aligns with current trends in AI, emphasizing the importance of these areas in developing advanced AI solutions.