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 🙏

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