Mai Nguyen
About Mai Nguyen
Mai Nguyen is a Lead Data Scientist with extensive experience in machine learning and big data applications. She has held various academic and industry positions, including adjunct faculty roles at multiple universities and significant engineering roles in prominent organizations.
Current Role at San Diego Supercomputer Center
Mai Nguyen serves as the Lead Data Scientist at the San Diego Supercomputer Center since 2014. In this role, she focuses on the research and development of scalable, distributed applications that utilize machine learning algorithms to address big data challenges. Her work contributes to advancing computational methods and technologies within the center.
Teaching Experience at University of Phoenix
Since 2010, Mai Nguyen has been an Adjunct Faculty member at the University of Phoenix. Over the past 14 years, she has designed and taught courses related to information technology, leveraging her extensive background in computer science and data science to educate students in the field.
Professional Background in Data Science and Engineering
Mai Nguyen has a diverse professional background in data science and engineering. She has held various positions, including Research Assistant at the University of California at San Diego, Staff Engineer at TRW Space & Technology Division, and Senior Software Engineer at CCC Information Services. Her experience spans over two decades, with a focus on machine learning applications and automated fault management.
Educational Qualifications in Computer Science
Mai Nguyen holds a Bachelor of Science in Computer Science from Colorado State University. She furthered her education at UC San Diego, where she earned both a Master of Science and a Ph.D. in Computer Science. Her academic credentials provide a strong foundation for her work in data science and machine learning.
Research Expertise in Machine Learning Applications
Mai Nguyen specializes in applying machine learning techniques to various domains, including wildfire prevention. Her research involves developing innovative solutions for big data problems and contributing to advancements in remote sensing and medical image analysis.