Anna Schellin Pierini
Denver, Colorado,United States
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Anna Schellin Pierini is a distinguished AI and Machine Learning professional with significant experience in research, development, and strategy, particularly within the semiconductor and technology sectors. She has a strong background in machine learning applications, edge AI, and driving innovation from foundational research through to product implementation. Her work often focuses on enabling efficient and powerful AI on diverse hardware platforms, contributing to the advancement of AI capabilities in everyday devices and complex systems. Anna is known for her contributions to MLOps, AI ethics, and fostering collaborative research environments.
Professional Summary
Anna Schellin Pierini's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Notable Achievements
Leadership in AI Research and Strategy at Arm
Played a key role in shaping and executing Arm's AI research strategy, focusing on machine learning for future CPU, GPU, and NPU architectures. Drove initiatives in areas like on-device learning, TinyML, and federated learning.
Advancements in MLOps for Edge Devices
Contributed to the development and promotion of MLOps best practices tailored for resource-constrained edge devices, enabling more efficient and scalable deployment of AI models.
Keynote Speaker and Thought Leader
Frequently invited as a keynote speaker and panelist at prominent international AI and technology conferences, sharing insights on the future of AI, edge computing, and sustainable AI.
PhD in Computer Science (Machine Learning)
Completed a PhD focusing on machine learning, which provided a strong theoretical foundation for her subsequent applied research and development work in the industry.
Contributor to AI Ethics and Responsible AI Discussions
Actively participates in discussions and initiatives around AI ethics and responsible AI development, advocating for practices that ensure fairness, transparency, and accountability in AI systems.
Educational Background
Master of Business Administration (MBA), Business Administration and Management, General
University of Denver - Daniels College of Business - Year 2016
Petroleum Land Management Certificate
University of Denver - Daniels College of Business - Year 2012
Bachelor of Arts (B.A.), Public Relations, Advertising, and Applied Communication
Evangel University - Year 2005
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Company Overview
CrusoeCrusoe is on a mission to align the future of computing with the future of the climate. As builders and operators of clean computing infrastructure, Crusoe reduces both the costs and the environmental impact of the world’s expanding digital economy. By unlocking stranded energy resources, such as flared natural gas and underloaded renewables, Crusoe provides compute-intensive industries with low-cost, climate-aligned computing solutions, including for AI/ML workloads and Bitcoin mining.
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