Yen Chang
About Yen Chang
Yen Chang is a Senior Machine Learning Engineer at Cohere Health, with over a decade of experience in machine learning and data analysis. He holds multiple degrees, including a Master of Science in Business Analytics and a Master of Science in Nuclear Engineering.
Work at Cohere Health
Yen Chang has been serving as a Senior Machine Learning Engineer at Cohere Health since 2022. In this role, he applies his extensive knowledge in machine learning to enhance healthcare solutions. His responsibilities include overseeing the complete cycle of data collection, processing, and modeling, which contributes to generating actionable business insights. His tenure at Cohere Health marks a significant step in his career, focusing on the intersection of technology and healthcare.
Previous Experience in Engineering
Prior to his current position, Yen Chang worked at Area 1 Security as a Senior Software Engineer specializing in Machine Learning from 2017 to 2022. Before that, he was employed at Bechtel Corporation as an Engineer from 2013 to 2016. These roles provided him with a solid foundation in engineering and machine learning, allowing him to develop skills in statistical analysis and data mining.
Education and Expertise
Yen Chang holds a Master of Science in Business Analytics from California Polytechnic State University-San Luis Obispo, which he completed in 2017. He also earned a Master of Science in Nuclear Engineering and Science from National Tsing Hua University in 2010. His academic background is complemented by a Bachelor's Degree in Industrial Engineering and Engineering Management, also from National Tsing Hua University, obtained in 2007. This diverse educational foundation supports his expertise in data-driven decision-making and engineering principles.
Professional Skills and Specializations
With over a decade of experience, Yen Chang possesses a strong skill set in machine learning, statistical analysis, and data mining. He demonstrates professional creativity and flexibility, which are essential in engineering roles. His expertise encompasses the full cycle of data management, from collection and processing to modeling, enabling him to deliver valuable insights for business applications.