Mark Dalton
About Mark Dalton
Mark Dalton is a Linux Support Engineer at Lambda, with extensive experience in engineering and education. He has taught various subjects online since 1994 and has worked with multiple organizations, including Cray and Princeton University, specializing in machine learning and system optimization.
Work at Lambda
Mark Dalton has been employed at Lambda as a Linux Support Engineer since 2021. He operates in the Santa Fe, New Mexico area. In this role, he utilizes his extensive background in Linux systems to provide support and optimize performance for various applications.
Education and Expertise
Mark Dalton studied at Kimball High School and later earned a bachelor's degree from Bethel University, where he majored in Genetics (Biology) and Biomedical-Ethics (Philosophy) with a minor in Chemistry. He also attended the University of St. Thomas - Opus College of Business, where he completed a certificate program in Fast Trac. His educational background supports his expertise in genetics, biology, and ethical considerations in biomedical fields.
Background
Mark Dalton has a diverse professional background, having worked in various engineering and teaching roles. He was employed at Cray for 14 years in multiple capacities, including Engineer IV and Remote/Site Lead Support Engineer. His experience also includes positions at Hewlett Packard Enterprise and Princeton University as a Senior Unix/Linux Administrator/Programmer. Additionally, he has been involved in robotics education and online teaching since 1994.
Teaching and Online Courses
Since 1994, Mark Dalton has taught Genetics and Cell Biology through a free online course that has been incorporated into Wikipedia books. He has educated over 2,000 individuals in basic electronics, robotics, and Nervous Nets. His teaching spans a wide age range, from children to adults, demonstrating his ability to communicate complex concepts effectively.
Technical Skills and Projects
Mark Dalton specializes in designing and optimizing computing clusters and has extensive experience with various operating systems, including Unix and Linux. He has been involved in deep learning and machine learning since 1995, utilizing tools such as TensorFlow and PyTorch. His programming skills encompass languages such as C/C++, Python, and Java, and he has experience with databases like SQL and Oracle. He also contributed to the open-sourcing of Blender.