Julian’s career is incredible: from natural sciences through a master’s in physical modeling, a PhD in virtual analog modeling, an almost decade-long position at Native Instruments, all the way to TikTok and Stability AI, where he’s working now on generative music algorithms.
There are few people who have such a rich background in audio research and industry and even fewer who are willing to share the details of it publicly. That makes this episode all the more exciting!
Note: If you like the podcast so far, please, go to Apple Podcasts and leave me a review there. You can do so on Spotify as well. It will benefit both sides: more reviews mean a broader reach on Apple Podcasts and feedback can help me to improve the show and provide better quality content to you. You can also subscribe and give a like on YouTube. Thank you for doing this 🙏
Episode contents
From this podcast, you will learn:
how machine learning forever changed audio plugin design and development
how big audio plugin companies operate internally
how to learn C++ for audio programming
whether you need to have a PhD to work in an R&D department of an audio company
what is the state of the art in generative music
how to learn generating music with AI
how to be able to focus on research papers even if you read them after hours
how to produce quality research
how to rest & recharge after intense and focused work
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