Eric Jiawei He
About Eric Jiawei He
Eric Jiawei He is a Technical Lead at Borealis AI, where he has worked since 2021. He holds a PhD in Computer Science from Simon Fraser University and has experience in machine learning research and collaboration with academic institutions.
Work at Borealis AI
Currently, Eric Jiawei He holds the position of Technical Lead at Borealis AI, where he has been working since 2021. In this role, he is involved in overseeing projects related to machine learning and artificial intelligence. Prior to his current position, he served as a Research Engineer at Borealis AI from 2019 to 2020. He also completed an internship at Borealis AI as a Research Intern from 2018 to 2019. His work at Borealis AI is supported by RBC, and he has access to large-scale projects and resources for building statistical models.
Education and Expertise
Eric Jiawei He earned his Doctor of Philosophy (PhD) in Computer Science from Simon Fraser University, where he studied from 2015 to 2020. He also holds a Master of Engineering (MEng) in Information Engineering from Nanyang Technological University, completed from 2013 to 2015. His undergraduate degree is a Bachelor of Engineering (BEng) in Mechatronics, Robotics, and Automation Engineering from Zhejiang University, obtained from 2009 to 2013. His educational background provides a strong foundation in machine learning, deep learning, and AI safety.
Background
Eric Jiawei He has a diverse background in research and development within the field of artificial intelligence. He began his career with an internship at Disney Research in 2018, where he worked for 10 months. Following this, he joined Borealis AI as a Research Intern and progressed to roles as a Research Engineer and now Technical Lead. His experience spans both academic and industry settings, allowing him to collaborate with various organizations and institutions.
Research Contributions
Eric Jiawei He is involved in original research that may be published in prestigious conferences such as NeurIPS, ICLR, ICML, and CVPR. His research interests include deep learning, reinforcement learning, and AI safety. He participates in projects that leverage large-scale datasets and advanced statistical models. Additionally, he may engage in mentorship programs like 'Let's SOLVE It', contributing to the development of future talent in the field.