Dylan Finch
About Dylan Finch
Dylan Finch is a Member of Technical Staff at Cerebras Systems, specializing in designing low-power machine learning processors and optimizing training algorithms. He engages in creating art using generative neural networks and has previously worked at Ceremorphic and the University of California, Davis.
Work at Cerebras Systems
Dylan Finch currently holds the position of Member of Technical Staff at Cerebras Systems, a role he has occupied since 2021. In this capacity, he specializes in designing low-power machine learning processors. His work contributes to advancing the capabilities of machine learning technologies, particularly in optimizing performance while minimizing energy consumption. Cerebras Systems is known for its innovative approach to AI hardware, and Finch's expertise aligns with the company's mission to enhance machine learning applications.
Previous Experience at Ceremorphic
Before joining Cerebras Systems, Dylan Finch served as the Lead Machine Learning Engineer at Ceremorphic from 2017 to 2021. During his four years at the company, he focused on optimizing training algorithms for low power implementations. His role involved developing strategies to improve the efficiency of machine learning processes, which is critical in the context of energy-conscious computing. This experience provided him with a strong foundation in machine learning engineering and processor design.
Research Experience at University of California, Davis
Dylan Finch began his career in research as an Undergraduate Researcher at the University of California, Davis, where he worked from 2016 to 2017. His role lasted for ten months and involved engaging in various research projects that likely contributed to his knowledge and skills in electrical and electronics engineering. This experience laid the groundwork for his subsequent roles in the tech industry, particularly in machine learning and processor design.
Education in Electrical and Electronics Engineering
Dylan Finch earned his Bachelor’s Degree in Electrical and Electronics Engineering from the University of California, Davis, completing his studies from 2013 to 2017. This educational background provided him with a solid foundation in engineering principles and practices, which he has applied throughout his career in various technical roles. His academic training has been instrumental in his ability to work on complex machine learning technologies.
Art and Generative Neural Networks
In addition to his technical roles, Dylan Finch engages in personal projects that involve creating art across various mediums using generative neural networks. He collaborates with artists to integrate machine learning technology into digital art workflows. This intersection of technology and art showcases his versatility and ability to apply engineering concepts creatively, enhancing the field of digital art through innovative techniques.