T Mundhenk
Machine Learning Group Leader at Lawrence Livermore National Laboratory
Livermore, California, United States
Summary
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Senior🎓
Top SchoolT Mundhenk is a Machine Learning Group Leader at Lawrence Livermore National Laboratory with nine years of experience in computer vision, deep learning, robotics and computational neuroscience. He leads a team of 12 scientists translating perception and attention research into real-time, deployable systems—work that has been adopted by companies such as General Motors and Boeing. A published researcher with papers in Journal of Vision, Biological Cybernetics and Neuropsychologia, he blends rigorous cognitive-modeling expertise with hands-on engineering in C++, MATLAB and OpenCV. His recent projects include multi-camera tracking, EO/LIDAR fusion and real-time noise-cleaning for millimeter-wave imaging, demonstrating a knack for turning complex sensor data into actionable, fielded solutions. Colleagues describe him as a polymath who learns quickly and bridges academic insight with production-grade software for safety- and defense-relevant applications.
9 years of coding experience
17 years of employment as a software developer
BA, Psychology, BA, Psychology at University of CincinnatiMaster of Science (MS), Computer Science, Master of Science (MS), Computer Science at University of Southern California
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (17)
optimization10
machine-learning9
overhead9
computer-vision8
deep-learning7
debug4
debugging4
python4
jupyter-notebook4
reinforcement-learning3
science3
monitoring3
data-science3
jupyter3
visualization2
Programming languages (2)
Github contributions (5)
LLNL/cowc
Sep 2016 - Jan 2021
Cars Overhead With Context related scripts described in Mundhenk et al. 2016 ECCV.
Contributions:21 commits, 1 PR, 29 pushes in 4 years 5 months
deep-learningeccvoverheadcarscomputer-vision
LLNL/fastcam
Jan 2020 - Sep 2020
Contributions:124 commits, 99 pushes, 5 branches in 8 months
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