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title Kai Christensen

ML Researcher & Data Scientist

Boulder, Colorado

Hi, I’m Kai. I am interested in unusual or novel NN architectures, parameter-efficient and compute-efficient deep learning, and applying ML to tasks that would be impossible without it. I want to be part of a team where I can learn from people smarter than me while making the world a better place.

Links

Blog LinkedIn Github Google Scholar YouTube Email: matthew (dot) kai (dot) christensen (at) gmail (dot) com

Employment History

  • Cedars-Sinai Medical Center. Machine learning research. (2021/10 – 2025/10)

Wrangled very large medical image datasets. Trained dozens of deep neural networks. Worked with clinicians to run experiments and publish papers. Built and maintained custom on-prem Linux GPU servers and a 350TB TrueNAS storage server. Oriented new hires and helped them get used to our tooling, data, and processes.

  • Trailfort. Product visualization. (2019)

Created 3D product visualizations and promotional animations using Blender.

Selected Papers

  • Vision-language foundation model for echocardiogram interpretation (2024)

First author. Published in Nature Medicine.

  • Deep learning based electrocardiographic screening for chronic kidney disease (2022)

Co-first author. Published in Communications Medicine.

Skills

  • Machine learning. PyTorch, Numpy, Pandas, WandB, Matplotlib, SQL.
  • Blender. Modeling, shading, tracking, compositing, Python API.
  • Programming on Linux. Ubuntu, Docker, Bash, Git/Github.
  • The arts. Music, portraiture, filmmaking (including VFX), and creative writing.

Other Projects

  • Painterbot. (2023/10) Artistic algorithmic image reconstruction with PyTorch.
  • Spectracles. **(2024)**Complex-valued pixel-level image transformer that replaces standard attention with the FFT. Promising performance at small parameter counts, but I unfortunately could never get it to scale properly to larger model sizes.
  • 100 Days of Chalk Art. Long-term public performance art. (2020/03 - 2020/07)
  • No More Greenscreen. (2021/01 - 2021/10) Deep video matting paper reproduction. My first real ML project. I didn’t succeed, but I won the Pioneer tournament working on it.

Education

In 2020 I graduated from Lincoln High School (Lincoln, CA). I have not attended college. All skills listed in this resume are self-taught. I really enjoy learning new things.

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