Garrick Orchard
Research Scientist at Meta
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolGarrick Orchard is a research scientist in New York with a decade of experience developing bio-inspired architectures and algorithms for sensing and vision. His career spans academia and industry—from a lengthy postdoctoral fellowship at the National University of Singapore to research roles at Intel Labs and his current position at Meta—bridging fundamental neuroscience-inspired ideas with applied systems research. He holds a PhD and MSc in Electrical and Computer Engineering from Johns Hopkins and a BSc in Electrical Engineering from the University of Cape Town, grounding his work in rigorous theory and hardware-aware practice. Known for translating biological principles into efficient computational models, he brings a rare combination of theoretical depth and product-facing research that informs next-generation sensing and visual computation.
11 years of coding experience
4 years of employment as a software developer
Bachelor of Science (B.Sc.), Electrical Engineering, Bachelor of Science (B.Sc.), Electrical Engineering at University of Cape TownJohns Hopkins University
English, Afrikaans
Github Skills (12)
matlab9
python8
optical-flow7
pytorch7
deep-learning6
spiking-neural-networks5
neural-network4
face-recognition4
neuroscience3
facenet3
tensorflow2
machine-learning2
Programming languages (5)
Github contributions (5)
gorchard/event-Python
Feb 2016 - Feb 2020
Python code for event based vision
Contributions:8 commits, 7 PRs, 9 pushes in 4 years
python
gorchard/FPGA_event_based_optical_flow
Feb 2018 - Jun 2019
Plane fitting event-based optical flow as described in ISCAS2018 paper
Contributions:14 commits, 2 PRs, 10 pushes in 1 year 3 months
optical-flow
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