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Peadar Coyle

Peadar Coyle

CTO & Co-founder at AudioStack, AI-native audio platform for media & entertainment

peadarcoyle
London
Luxembourg
Ireland
Joined May 2025
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Summary

Peadar Coyle is a distinguished AI and data science leader, known for his early adoption and deep understanding of machine learning. He co-founded AudioStack (formerly Aflorithmic) to revolutionize audio production with AI, enabling rapid, scalable content creation. His vision allowed the company to thrive even before the recent AI hype cycle, by focusing on unique customer workflows and defensibility beyond simply leveraging cutting-edge models. He champions the use of AI to increase the surface area of who gets to build, emphasizing that AI tools significantly reduce the gap between idea and execution. thectocompass+3
With a strong academic background in Mathematics (M.Sc., University of Luxembourg) and Physics and Philosophy (B.Sc., University of Bristol), Peadar combines theoretical knowledge with practical application. His Master's thesis on machine learning for time series forecasting laid the groundwork for his career in data science. He has authored various teaching documents on advanced mathematical topics, showcasing his foundational expertise and commitment to education within his field. jameskle+2
Peadar is a passionate advocate for open-source software and probabilistic programming. His significant contributions to PyMC3, a prominent Python library for Bayesian statistical modeling, have supported countless projects and scaleups globally. He also created the 'Probabilistic Programming Primer' online course, reflecting his dedication to making complex data science concepts accessible and promoting community involvement in technical development. jameskle+3
Beyond technical expertise, Peadar Coyle is a thought leader and author on data science and startup dynamics. He has published a book of interviews with influential data scientists and regularly shares insights on his Medium and WordPress blogs, covering topics such as building successful ML systems, the nuances of startup CTO roles, and the importance of delivering end-to-end value in data products. He's also been invited to advise the UK government on AI innovation, highlighting his influence in the sector. jameskle+3

Work

Education

Projects

Writing

What AI means for building new products

December 1, 2022

A blog post reflecting on the impact of AI on product development and the path to making AI useful, drawing on over a decade of experience with Deep Learning, NLP, formal logic, and Bayesian Statistics.

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Creating an Alexa Audio Streaming Skill with api.audio

September 1, 2021

An article explaining how to create a simple Alexa Skill from scratch using api.audio content, demonstrating the application of AI audio technology.

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5 Things I’ve learned being a Startup CTO

July 1, 2021

Reflections on being a technical founder and CTO of a tech startup, sharing insights from interactions with other CTOs and tech leads.

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Interviews with Data Scientists

A book consisting of numerous interviews with data scientists from around the world, discussing common traits of successful data scientists and the industrial application of data science.

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Probabilistic Programming and PyMC3

A research paper proposing a Bayesian hierarchical model for Rugby data to estimate team characteristics and predict match scores, serving as an introduction to Probabilistic Programming in Python with PyMC3.

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