Davis Rempe

Senior Research Scientist at NVIDIA

San Francisco Bay Area United States
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Summary

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Davis Rempe is a Senior Research Scientist at NVIDIA’s Spatial Intelligence Lab with 11 years of experience at the intersection of 3D computer vision, graphics, and machine learning, focused on synthesizing and perceiving dynamic humans, objects, and scenes. He completed a PhD at Stanford studying learned motion models for perception and generation of dynamic humans and objects and has a track record of industrial research internships (Adobe, Snap) translating academic ideas into practical systems like learned foot-contact detection and real-time deformable simulation. At NVIDIA he progressed from intern to research scientist and now senior research scientist, contributing to spatial intelligence research with an emphasis on motion-aware generative and perceptual models. Based in the Bay Area, he combines deep theoretical grounding with production-minded experimentation and maintains a public research portfolio at davrempe.github.io. An underappreciated thread in his background is early hands-on work across diverse experimental domains—from chromatography software to silicon detectors—that underpins his practical problem-solving approach.
code11 years of coding experience
job11 years of employment as a software developer
bookBachelor of Science (B.S.), Mathematics and Computer Science, Bachelor of Science (B.S.), Mathematics and Computer Science at University of Nebraska-Lincoln
bookDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Stanford University
languagesEnglish, Spanish
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Github Skills (29)

motion-model10
google-cardboard10
trajectory-generation9
face9
depth-estimation9
3d9
autonomous-vehicles9
android-application8
ultrasound8
pose-estimation8
computer-graphics8
dynamics8
visualize8
deterministic8
mri7

Programming languages (3)

C++JavaScriptPython

Github contributions (5)

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nv-tlabs/STRIVE

Dec 2021 - Aug 2022

Code for CVPR 2022 paper "Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic Prior"
Contributions:8 commits, 12 pushes, 1 branch in 8 months
autonomous-vehiclestraffic-modellingvae
davrempe/2d-fluid-sim

Oct 2016 - Jan 2017

Contributions:37 commits, 33 pushes, 1 branch in 3 months
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