Daniel Park
Machine Learning Engineer at VoxelCloud
Los Angeles, California, United States
Summary
👤
Senior🎓
Top SchoolDaniel Park is a machine learning engineer with nine years of experience applying computer vision and ML to medical imaging and neurodegenerative disease research, currently building clinical-grade models at VoxelCloud. Trained at MIT CSAIL and experienced across industry roles at Biogen, he bridges rigorous computational biology research and production ML, translating complex scientific problems into deployable solutions. His background spans graduate research in systems biology to hands-on engineering in biotech, giving him a rare fluency in both experimental design and model deployment. Based in Los Angeles, he combines domain expertise in healthcare imaging with a track record of driving insights that influence research and clinical workflows.
9 years of coding experience
13 years of employment as a software developer
MS, Computational and Systems Biology PhD program, MS, Computational and Systems Biology PhD program at Massachusetts Institute of TechnologyBS, Information and Computer Science, BS, Information and Computer Science at University of California, Irvine
Korean
Github Skills (3)
youtube5
object-detection4
yolov42
Programming languages (1)
Github contributions (5)
daptecc/facial-keypoints-heatmaps
Apr 2020 - Dec 2020
Contributions:13 commits, 1 push in 8 months
daptecc/yolov4-deepsort-youtube-stream
Jul 2020 - Nov 2022
Yolov4 DeepSORT on Youtube videos
Contributions:16 commits, 4 PRs, 10 pushes in 2 years 5 months
videosobject-detectionyolov4-deepsortyoutubeyoutube-videos
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