Nitish Nayak
Postdoctoral Research Associate
Town of Brookhaven, New York, United States
Summary
👤
Senior🎓
Top SchoolNitish Nayak is a particle physicist and postdoctoral researcher with nine years of experience designing and analyzing large-scale neutrino experiments at Brookhaven National Laboratory and earlier roles in India and industry. He combines hands-on simulation, reconstruction, and R&D for DOE-funded projects with project coordination and supervision, bridging deep physics expertise and practical team leadership. Trained with a PhD in Elementary Particle Physics from UC Irvine and engineering and physics degrees from IIT Bombay, he is equally comfortable with detector-level simulation and data-driven analysis workflows. Earlier industry experience as a quantitative research analyst honed his skills in machine learning, data mining, and applied modeling across healthcare, logistics, and finance. Based in Brookhaven, NY, he brings a rare mix of experimental physics rigor and applied data-science practice to tackle sub-atomic discovery challenges.
9 years of coding experience
Indian Institute of Technology BombayDoctor of Philosophy - PhD, Elementary Particle Physics, Doctor of Philosophy - PhD, Elementary Particle Physics at University of California, Irvine
Github Skills (18)
gaussian9
interaction8
redmine8
neutrino7
genie7
tpc7
argon6
generator6
tensorflow5
simulation5
liquid4
detectors4
python4
regression3
cli2
Programming languages (5)
Github contributions (5)
nitish-nayak/gp4nuosc
May 2018 - Nov 2022
Approximating Feldman-Cousins Confidence Intervals using a Gaussian Process for Neutrino Oscillations
Contributions:15 commits, 1 PR, 37 pushes in 4 years 6 months
confidenceconfidence-intervalsoscillationsneutrinogaussian
nitish-nayak/dotfiles
Sep 2016 - Dec 2024
Contributions:217 pushes, 7 branches in 8 years 3 months
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