Kenny Leung
About Kenny Leung
Kenny Leung is a Machine Learning Engineer currently employed at Notion. He has a diverse background in computer science, having held various positions at Stanford University, Google, Twitter, and Microsoft.
Current Role at Notion
Kenny Leung is currently employed as a Machine Learning Engineer at Notion, a position he has held since 2023. In this role, he focuses on developing and implementing machine learning algorithms to enhance Notion's product offerings. His expertise in machine learning contributes to the company's mission of improving productivity and collaboration tools.
Previous Experience at Stanford University
Kenny Leung worked at Stanford University in various capacities. From 2014 to 2016, he served as a CS106 Section Leader, where he facilitated learning for students in computer science courses. Additionally, he was a Research Assistant at the Stanford University School of Medicine from 2012 to 2014, contributing to research in the General Medical Disciplines. He also worked as a Climbing Wall Supervisor for six months in 2014.
Experience in Machine Learning and Software Engineering
Kenny Leung has extensive experience in machine learning and software engineering. He worked as a Senior Machine Learning Engineer at Twitter from 2019 to 2022. Prior to that, he was a Software Engineer at Google from 2016 to 2019. His early career included a Software Engineering Internship at Syapse Inc. in 2014 and a Software Development Engineering Internship at Microsoft in 2015.
Educational Background in Computer Science
Kenny Leung studied at Stanford University, where he earned a Master of Science in Computer Science. He also completed a Bachelor of Arts in Computer Science and Philosophy. His educational background provides a strong foundation for his work in machine learning and software development.
Involvement in Research and Development
During his tenure at Stanford University, Kenny Leung was involved in the Stanford Virtual Diabetes Group Study as a Web Developer for three months in 2015. This role allowed him to apply his technical skills in a research context, contributing to the development of web-based solutions for diabetes management.