Luke Arend
Doctoral Student at NYU Center for Neural Sciences
New York, New York, United States
Summary
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Senior🎓
Top SchoolLuke Arend is a doctoral student at NYU Center for Neural Science with eight years of experience applying deep learning and probabilistic methods to neuroscience, robotics, and large-scale data analysis. Trained in physics and philosophy (BS/BA, 4.0), he blends rigorous quantitative modeling with conceptual curiosity to ask how meaning is extracted from raw data. His research trajectory includes MIT, Johns Hopkins, and industry roles at SAIVA AI and Boon Logic, where he translated neural and sensor data into actionable models and products. He has a track record of connecting single-unit neural activity to deep network representations and of building end-to-end research pipelines in Python/TensorFlow, MATLAB, and C++/Arduino. Equally comfortable in wet labs, robotics workshops, and cloud experiments, he prizes reproducible code and interpretable models. Colleagues value his rare mix of experimental neuroscience intuition, strong engineering chops, and a habit of asking the next question no one thought to pose.
8 years of coding experience
7 years of employment as a software developer
BS Physics, BA Philosophy, Physics and Philosophy, GPA 4.0, BS Physics, BA Philosophy, Physics and Philosophy, GPA 4.0 at Bethel UniversityNeuroscience, Neuroscience at Massachusetts Institute of TechnologyPhysics, Philosophy, Psychology, Physics, Philosophy, Psychology at University of OxfordHigh School Diploma, 9-12, High School Diploma, 9-12 at Concordia Academy
Stackoverflow
170reputation
5kreached
2answers
1question
Github Skills (10)
plotly-dash6
dash-bootstrap-components6
twitter-bootstrap6
validation6
tensorflow6
python6
logic6
plotly6
pdf5
documentation3
Programming languages (1)
Github contributions (5)
lukearend/bayesocampus
Jul 2017 - Nov 2021
Contributions:20 commits, 18 pushes, 1 branch in 4 years 4 months
lukearend/osrs-hiscores
Oct 2021 - Jul 2022
Contributions:447 commits, 7 pushes, 2 comments in 9 months
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