Denver Dash
Behaviors Research And Development at Motional
Boulder, Colorado, United States
Summary
👤
Senior🎓
Top SchoolDenver Dash is a seasoned machine learning researcher and leader with 11+ years guiding high-performing teams from startup environments to large tech firms. He has consistently translated ML research into production-ready features for consumer-facing products, spanning robotics, human-computer interaction, gesture recognition, and probabilistic modeling. Based in Boulder, Colorado, he is currently driving prediction and planning research for safe self-driving ride-hail and delivery at Motional, following a track record at Meta, Amazon, Occipital, and Magic Leap. He holds a PhD in Intelligent Systems from the University of Pittsburgh and has held adjunct faculty roles in robotics and bioinformatics, reflecting his blend of academic rigor and industry impact. His career includes leading research at Meta on ML and EMG-driven interfaces and directing ML at Occipital and Magic Leap, underscoring a consistent pattern of turning complex research into scalable systems. Beyond production work, he has contributed to the research ecosystem through academia and cross-industry collaboration.
11 years of coding experience
22 years of employment as a software developer
B.S., Physics, B.S., Physics at Case Western Reserve UniversityDoctor of Philosophy (PhD), Intelligent Systems, Doctor of Philosophy (PhD), Intelligent Systems at University of PittsburghCoventry High School
Github Skills (32)
imagenet9
annotations9
annotation9
semantic-segmentation9
sdk9
computer-vision8
object-detection8
annotate8
hardware8
labeling8
image-classification8
intel7
pytorch7
bounding-box7
image-annotation7
Programming languages (2)
Github contributions (5)
denverdash/Mask_RCNN
Apr 2018 - Sep 2018
Contributions:2 pushes, 1 branch in 4 months
maskdeep-learningr-cnnobject-detectiontensorflow
denverdash/Towards-Realtime-MOT
Mar 2020 - Mar 2020
Joint Detection and Embedding for fast multi-object tracking
Contributions:1 push, 1 branch in 1 day
pytorchdeep-learningobject-detectioncomputer-visiontracking
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