Kanishk Jain
Research Scientist (Postdoctoral) at Emory University
Atlanta, Georgia, United States
Summary
👤
Senior🎓
Top SchoolKanishk Jain is a physicist and AI researcher with nine years of experience exploring emergent behaviors in AI systems, currently a postdoctoral research scientist in the Physics of AI at Emory University. He builds multi-timescale predictive models and scalable pipelines for massive time-series datasets (10M+ points) using RNNs and VAEs, combining time-frequency analysis and dimensionality reduction to reveal latent dynamics. His work bridges theory and application—quantifying behavioral signatures of early-life stress in animals with clustering and rigorous bootstrapped statistics—while previously modeling infectious disease spread and creating interactive GUIs for high-dimensional parameter exploration. Quick at turning data into insights, he has a track record of accelerating lab progress through efficient algorithms and tools, from microscopy denoising to AFM data classification. Based in Atlanta, he brings a rare blend of physics rigor, practical software engineering, and curiosity about how complex AI systems produce surprising collective behaviors.
9 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD Physics, Doctor of Philosophy - PhD Physics at Emory UniversityBS and MS Physics, BS and MS Physics at Indian Institute of Science Education and Research (IISER), Mohali
Github Skills (14)
pose9
toolbox9
nvidia8
pose-estimation8
deep-learning7
pytorch6
cuda6
machine-learning-algorithms6
machine-learning6
python6
cuml5
gpu5
rapids4
data-science3
Programming languages (3)
Github contributions (5)
bermanlabemory/motionmapperpy
Sep 2020 - Oct 2022
Modified Python 3.0 implementation of MotionMapper (https://github.com/gordonberman/MotionMapper)
Contributions:26 commits, 26 pushes, 1 branch in 2 years 1 month
python-3pythonmodified
kanishkbjain/DeepLabCut
Aug 2018 - Apr 2020
Markerless tracking of user-defined features with deep learning
Contributions:2 pushes in 1 year 8 months
definedmarkerlessdeep-learningmachinelearningtracking
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