Carson Berry is a Scientific Data Engineer with eight years of interdisciplinary experience at the intersection of biology and electrical/computer engineering, currently tackling coregistration challenges at the Allen Institute for Neural Dynamics. He blends hands-on wet-lab and clinical research experience—designing EEG acquisition pipelines and large-scale chart review databases—with pragmatic engineering skills in Python, MATLAB, and ASIC flow optimization from Intel. Carson has a proven track record of turning messy biological data into robust, reproducible pipelines and real-time quality-assurance tools that materially improved data yield and analysis speed. Comfortable both in the clinic and the lab, he also brings field experience in ecological sampling and technical system maintenance, reflecting a practical problem-solving mindset. He holds dual degrees in Biology and Electrical & Electronics Engineering from UBC, which underpin his ability to bridge domain science and systems engineering to advance biological innovation.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Engineering (B.Eng.), Electrical and Electronics Engineering, Bachelor of Engineering (B.Eng.), Electrical and Electronics Engineering at The University of British Columbia
Biology/Biological Sciences, General, Biology/Biological Sciences, General at University of British Columbia Okanagan
This project aims to reduce urban food insecurity by reducing the cost and labour requirements of monitoring aquaponic or hydroponic food-growing systems.
Contributions:19 reviews, 6 PRs, 37 pushes in 2 months
labourpythonfood-insecurityhydroponicfood
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