Byron Butaney

Editor-In-Chief at Brown Journal of Medical Humanities
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Contact Information
us****@****om
(386) 825-5501
Location
United States, US
Languages
  • English Native or bilingual proficiency
  • Mandarin Chinese Elementary proficiency

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Experience

    • United States
    • Book and Periodical Publishing
    • 1 - 100 Employee
    • Editor-In-Chief
      • Jun 2023 - Present

    • Editor
      • Sep 2021 - Present

    • Research Lead
      • May 2023 - Present
    • Research Assistant - Singh Lab
      • May 2023 - Present

      Working on a project to impute and synthesize single cell Hi-C data from RNA-seq, ATAC-seq, and 3-dimensional genomic structural data using graph neural networks. Working on a project to impute and synthesize single cell Hi-C data from RNA-seq, ATAC-seq, and 3-dimensional genomic structural data using graph neural networks.

    • United States
    • Higher Education
    • 1 - 100 Employee
    • Undergraduate Teaching Assistant - Computer Vision
      • Dec 2022 - Jun 2023

      Prepare and grade bi-weekly assignments and hold weekly office hours for over 100 Computer Vision students. Prepare and grade bi-weekly assignments and hold weekly office hours for over 100 Computer Vision students.

    • United States
    • Software Development
    • 1 - 100 Employee
    • Back End Developer
      • Feb 2022 - Jun 2023

      Collaborate with teams to develop software consulting projects for organizations within and outside of the Brown community Collaborate with teams to develop software consulting projects for organizations within and outside of the Brown community

    • United States
    • Hospitals and Health Care
    • 700 & Above Employee
    • Deep Learning Research Intern
      • Jun 2022 - Sep 2022

      Trained a convolutional neural network (R-CNN) in TensorFlow to detect 51 key body parts in chest x-rays. Trained a Swin Transformer in PyTorch to detect 14 different diseases in chest x-rays. Trained a convolutional neural network (R-CNN) in TensorFlow to detect 51 key body parts in chest x-rays. Trained a Swin Transformer in PyTorch to detect 14 different diseases in chest x-rays.

    • United States
    • Political Organizations
    • 1 - 100 Employee
    • Data Science Fellow
      • May 2022 - Sep 2022

      Collaborated with a team of 4 and develop software to provide data-driven insights for Patrick Belmont’s House of Representatives campaign in Utah. Collaborated with a team of 4 and develop software to provide data-driven insights for Patrick Belmont’s House of Representatives campaign in Utah.

    • United States
    • Hospitals and Health Care
    • 700 & Above Employee
    • Stem Cell Research Intern
      • Oct 2019 - May 2021

      Engaged in collaborative research project to validate a more efficient method of peripheral blood stem cell collection for autologous transplants in patients with multiple myeloma. Research expected to produce peer reviewed publication and to improve care offered to cancer patients. Contributed statistical and written aspects of the project. Engaged in collaborative research project to validate a more efficient method of peripheral blood stem cell collection for autologous transplants in patients with multiple myeloma. Research expected to produce peer reviewed publication and to improve care offered to cancer patients. Contributed statistical and written aspects of the project.

    • Deep Learning Research Intern
      • Jun 2019 - Aug 2019

      Implemented a Region-Based Convolutional Neural Network for object detection in medical images. Implemented a Mask Region-Based Convolutional Neural Network for object detection in videos. Implemented a Region-Based Convolutional Neural Network for object detection in medical images. Implemented a Mask Region-Based Convolutional Neural Network for object detection in videos.

Education

  • Brown University
    Bachelor of Arts - BA, Computer Science
    2021 - 2025
  • BASIS Scottsdale
    High Honors Diploma
    2017 - 2021

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