Mark Buckler, PhD
About Mark Buckler, PhD
Mark Buckler, PhD, is the Founder and CEO of Codex Collective, a company that organizes electronic music events in Seattle. He has a diverse background in generative AI, robotics, and computer vision, with previous roles at Stability AI, Amazon, and Cornell University.
Work at Codex Collective
Mark Buckler serves as the Founder and CEO of Codex Collective, a position he has held since 2022. Based in Seattle, Washington, Codex Collective focuses on organizing electronic music events, contributing to the local music scene. Under his leadership, the company aims to create engaging experiences for music enthusiasts and foster a community around electronic music.
Education and Expertise
Mark Buckler earned his Doctor of Philosophy (Ph.D.) in Computer Engineering from Cornell University, where his thesis centered on hardware-accelerated deep learning for computer vision. He also holds a Master of Science (M.S.) in Electrical and Computer Engineering from the University of Massachusetts Amherst and a Bachelor of Science (B.S.) in Electrical Engineering from Rensselaer Polytechnic Institute. His educational background supports his diverse expertise in generative AI, robotics, biomedical imaging, computer vision, hardware acceleration, and computer architecture.
Background
Before founding Codex Collective, Mark Buckler held various positions in academia and industry. He worked as an Open Source Researcher at Stability AI for a brief period and spent four years as an Applied Scientist at Amazon. His earlier roles include serving as a Graduate Researcher at the University of Massachusetts Amherst and as the Founder and CEO of Firebrand Innovations. His experience spans multiple sectors, enhancing his knowledge and skills in technology and research.
Achievements
Mark Buckler has made significant contributions to the field of AI, including the development of a state-of-the-art AI text-to-sound generator designed for music producers and songwriters. This innovation allows users to create custom music samples, showcasing his ability to merge technology with creative industries. His work has implications in generative AI and music production, reflecting his commitment to advancing these fields.