Nirag Kadakia
Research Scientist At Reality Labs at Meta
United States
Summary
👤
Senior🎓
Top SchoolNirag Kadakia is a research scientist at Meta Reality Labs with a decade of experience applying physics, dynamical systems, and statistical inference to neural interfaces and computational neuroscience. He holds a PhD in Physics and has led research on chaotic dynamics, olfactory coding, and sensorimotor modeling across UC San Diego and Yale, producing peer-reviewed publications that bridge theory and experiment. Prior work in photovoltaic engineering and silicon solar-cell fabrication gives him a rare blend of hands-on device experience and mathematical modeling expertise. An accomplished educator, he has taught thousands of undergraduates in physics courses and earned recognition for mentorship, reflecting strong communication skills alongside technical depth. At Reality Labs he leverages this interdisciplinary background to translate theoretical neuroscience into practical neural-interface solutions.
10 years of coding experience
10 years of employment as a software developer
University of California, San DiegoBachelor of Science - BS, Mathematics, Bachelor of Science - BS, Mathematics at The University of Texas at AustinMaster of Science - MS, Nanotechnology, Master of Science - MS, Nanotechnology at University at Albany, SUNY
Github Skills (8)
parameter-estimation6
ode6
python5
machine-learning4
neural-network3
deep-learning1
tensorflow1
data-science1
Programming languages (2)
Github contributions (5)
niragkadakia/Chaotic-Monte-Carlo
Feb 2016 - Aug 2020
Contributions:11 pushes, 1 branch in 4 years 7 months
niragkadakia/varanneal
Oct 2017 - May 2022
A Python package for state and parameter estimation in partially observed ODE and neural network systems, using variational annealing.
Contributions:26 pushes in 4 years 8 months
annealingpythonmachine-learningparameterestimation
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