Xiaoshi Huang

Xiaoshi Huang has a diverse work experience spanning several years. In 2019, they joined Layer 6 AI as a Senior Machine Learning Scientist, where they conducted research in Natural Language Processing and Time Series Analysis. They also applied machine learning techniques for healthcare and insurance fraud detection, creating models for accurate identification of potential fraud. In 2020, Xiaoshi became a Machine Learning Scientist at Layer 6 AI, continuing their work until 2021. Prior to this, they held a Machine Learning Scientist Intern position at Layer 6 AI in 2019, where they developed a novel algorithm for initializing Transformer models.

Before joining Layer 6 AI, Xiaoshi worked at Suncor Energy as a Data Analyst from 2013 to 2018. They also gained experience at Stanford University, serving as a Course Assistant and conducting independent research. At the University of Toronto, Xiaoshi held positions such as Team Leader for Aircraft Design, conducted an undergraduate thesis, and served as a Team Lead for the Spacecraft Design Course. They also worked as a Research Student at the University of Toronto Institute of Aerospace Studies. Additionally, Xiaoshi gained industry experience as a Software Engineer Intern at IBM Canada Ltd. and served as a Team Lead for the Engineering Design Course at the University of Toronto. Overall, Xiaoshi Huang has a strong background in machine learning, data analysis, and research in various fields.

Xiaoshi Huang pursued a Bachelor of Applied Science - BASc degree from the University of Toronto from 2006 to 2011 majoring in Engineering Science; Aerospace Engineering. Following this, from 2011 to 2013, Xiaoshi attended Stanford University, where they obtained a Master of Science (M.S.) degree specializing in Aerospace, Aeronautical, and Astronautical Engineering. In 2018, Xiaoshi enrolled at the University of Toronto once again, this time for a Master of Science in Applied Computing, with a focus on Computer Science, which they completed in 2019.