Shuxin Yao
About Shuxin Yao
Shuxin Yao is a Senior ML Engineer specializing in Natural Language Processing at Petuum, Inc. and a Graduate Research Assistant at Carnegie Mellon University, with a strong academic background in language technologies and computer software engineering.
Work at Petuum
Shuxin Yao has been employed at Petuum, Inc. as a Senior Machine Learning Engineer specializing in Natural Language Processing since 2017. In this role, Yao has contributed to various projects focused on natural language processing, leveraging expertise in the field to develop solutions that enhance machine learning applications. The position is based in the Greater Pittsburgh Area, where Yao has been an integral part of the team for seven years.
Education and Expertise
Shuxin Yao holds a Master of Science (M.S.) in Language Technologies from Carnegie Mellon University, where studies were completed from 2015 to 2017. Prior to this, Yao earned a Bachelor of Science (BS) in Computer Software Engineering from Wuhan University, studying from 2011 to 2015. Yao specializes in medical imaging report generation and unstructured content extraction, applying this knowledge in both academic and professional settings.
Background
Shuxin Yao's educational journey began at Yiling Middle School, where studies took place from 2008 to 2011. Following this, Yao pursued a Bachelor of Science degree at Wuhan University, culminating in graduation in 2015. This foundational education set the stage for advanced studies at Carnegie Mellon University, where Yao focused on language technologies.
Graduate Research Assistant Role
In addition to work at Petuum, Inc., Shuxin Yao has been serving as a Graduate Research Assistant at Carnegie Mellon University since 2015. This role has spanned nine years, allowing Yao to engage in research activities that complement professional experience in natural language processing and machine learning.