Rajat Saxena
Postdoctoral Researcher at Kavli Institute for Systems Neuroscience
Trondheim, Trøndelag, Norway
Summary
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Senior🎓
Top SchoolRajat Saxena is a postdoctoral researcher with 11 years of experience at the intersection of neuroscience and machine learning, currently studying circuit mechanisms of theta sweeps in the Moser lab. He earned a PhD in Neurobiology and Behavior from UC Irvine, where he ran multimodal experiments—two-photon imaging, high-density electrophysiology—and paired them with deep neural network simulations to probe continual learning and memory. His background includes building practical tools for large-scale electrophysiology (a CNN waveform classifier integrated with Kilosort2) and designing a low-cost camera system to track behavior across unusually large arenas, enabling early recordings of place cells in 16.5 m^2 environments. Comfortable moving between code and wet-lab experiments, he combines software engineering rigor from industry (Amazon) with academic innovation to push both methods and theory. Based in Trondheim, he blends computational modeling and hands-on systems neuroscience to study forward transfer and generalization in brains and artificial networks.
11 years of coding experience
10 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and ScienceUniversity of California, Irvine
English, Hindi, Japanese
Github Skills (77)
python10
toolbox10
gtk10
deep-learning10
robust10
microscopy10
qt10
electrophysiology10
ml10
neural-network10
data-science10
neuroscience10
tensorflow10
matplotlib10
machine-learning10
Programming languages (5)
Github contributions (5)
rajatsaxena/Ephys
Mar 2020 - Dec 2022
Contributions:51 commits, 56 pushes, 1 branch in 2 years 9 months
rajatsaxena/IISc_Neuroscience
Feb 2016 - May 2019
Codes used in Lab
Contributions:2 PRs, 327 pushes, 3 branches in 3 years 3 months
lab
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