Zack Zukowski

I am a machine learning engineer, and inter-disciplinary artist working with traditional DSP and machine learning techniques. My favorite programming languages are Python, Max/MSP, Javascript, and C++, but I'm always willing to learn new ones. Creating solutions to industry problems and building creative tools for audio, image, and language is what I do best. I can also play five musical instruments and have toured with multiple bands throughout the US and Canada. My work makes me feel most fulfilled when I am learning, collaborating, sharing, or exploring new possibilities in creative industries with interesting people. Research Papers: 2023 EvoMUSART GTR-CTRL: Instrument and Genre Conditioning for Guitar-Focused Music Generation with Transformers Pedro Sarmento, Adarsh Kumar, Yu-Hua Chen, CJ Carr, Zack Zukowski, Mathieu Barthet Paper: https://arxiv.org/abs/2302.05393 2021 ISMIR DadaGP: A Dataset of Tokenized GuitarPro Songs for Sequence Models Pedro Pereira Sarmento, Adarsh Kumar, Cj Carr, Zack Zukowski, Mathieu Barthet, Yi-Hsuan Yang Paper: https://archives.ismir.net/ismir2021/paper/000076.pdf Code: https://paperswithcode.com/dataset/dadagp 2019 IUI MILC Curating Generative Raw Audio Music with D.O.M.E. Http://ceur-ws.org/Vol-2327/IUI19WS-MILC-3.pdf Demo: http://dadabots.com/dome 2018 ICCC MUME Generating Albums with SampleRNN to Imitate Metal, Rock, and Punk Bands https://arxiv.org/abs/1811.06633 2017 NIPS (NeurIPS) Machine Learning for Creativity and Design Generating Black Metal and Math Rock: Beyond Bach, Beethoven, and Beatles https://arxiv.org/abs/1811.06639