Shashwat Shukla
Doctoral Researcher at Columbia University in the City of New York
New York, New York, United States
Summary
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Senior🎓
Top SchoolShashwat Shukla is a Doctoral Researcher in Computational Neuroscience at Columbia University with a decade of experience building theory-driven, data-constrained models to uncover the functional logic of neural circuits. His work spans Bayesian and state-space approaches, Dynamic Boltzmann Machines, and scalable algorithms for decoding spike-train data from multiple species, informed by research visits to Kyoto and Oxford Brookes. He combines strong ML and systems signal-processing foundations from IIT Bombay with hands-on experience in VR-enabled scientific exploration and brain–computer interfacing. Known for translating large experimental datasets into principled computational models, he also co-founded a multidisciplinary forum to bridge bio-inspired computing and engineering.
10 years of coding experience
1 year of employment as a software developer
Indian Institute of Technology BombayDoctor of Philosophy - PhD, Computational Neuroscience, Doctor of Philosophy - PhD, Computational Neuroscience at Columbia University in the City of New York
Github Skills (32)
visualization8
jupyter8
bokeh7
altair7
javascript7
data-visualisation7
ipywidgets7
python7
pyodide7
browser6
holoviews6
jupyter-notebook5
data-visualization5
ipython5
simulator5
Programming languages (5)
Github contributions (5)
ShashShukla/8-bit-car-racing
Dec 2015 - May 2018
Contributions:3 pushes, 1 branch, 2 issues in 2 years 4 months
ShashShukla/Place-Cell-Decoding-from-Spike-train-data
Nov 2018 - Dec 2018
Contributions:10 commits, 9 pushes, 1 branch in 12 days
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