Paul Wu

Paul Wu has a diverse work experience in the field of machine learning and artificial intelligence. Paul'smost recent position was as a Machine Learning Scientist at Layer 6 AI, starting in October 2022. Prior to that, they worked at Private AI as a Machine Learning Engineer from September 2021 to October 2022. In this role, they contributed to building and refining the core NER and text generation system for data privacy, implementing text editing models and designing auto-labeling and data augmentation techniques.

Before Private AI, Paul was a Machine Learning Research Intern at Borealis AI from May 2021 to August 2021. Paul also served as a Research Assistant at Mila - Quebec Artificial Intelligence Institute from September 2019 to August 2021, where they worked on Temporal Message Passing for Temporal Knowledge Graph Completion.

In addition, Paul has experience as a Knowledge Graph Research Intern at Huawei Noah's Ark Lab from June 2020 to April 2021, where they developed an incremental learning framework for temporal knowledge graphs and proposed knowledge distillation and reservoir sampling techniques.

Prior to their research roles, Paul worked as a Graduate Teaching Assistant at McGill University from September 2019 to December 2019, and as an Undergraduate Research Assistant from May 2018 to August 2019. At McGill, they designed fusion methods for entity prediction tasks and improved upon state-of-the-art performances.

Paul also gained industry experience as an NLP Research Intern at Nuance Communications from May 2019 to August 2019, where they reduced error rates in multilingual intent classification and implemented transfer learning techniques.

Lastly, Paul worked as a Software Development Intern at Nuance Communications from May 2017 to August 2017, where they implemented a metric collection and visualization system for monitoring the resource usage and task performance of machine learning models.

Overall, Paul Wu's work experience demonstrates their expertise in machine learning, natural language processing, knowledge graphs, and data privacy.

Paul Wu completed their education with a Master of Science in Computer Science from McGill University in 2021. Prior to that, they earned a Bachelor of Arts in Computer Science, with a minor in Statistics, from McGill University in 2019. Paul Wu received their high school diploma from Qingdao No.39 Middle School in 2014. In addition to their academic degrees, they obtained several certifications, including "Structuring Machine Learning Projects" from Coursera in November 2021, "Finding Purpose and Meaning in Life: Living for What Matters Most" from Coursera in May 2020, "Machine Learning" from Coursera Course Certificates in August 2016. Paul Wu was also honored with the "AP Scholar with Distinction Award" from The College Board in July 2016. Moreover, they completed "The Kennedy Half Century" course from Coursera Course Certificates in June 2016.