Shrikanth Yadav

Graduate Research Assistant

Missouri, United States
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Summary

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Senior
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Top School
Shrikanth Yadav is a data scientist and imaging researcher with nine years of experience applying quantitative methods to biomedical imaging, public health, and air quality problems. Currently a Graduate Research Assistant at Washington University in St. Louis pursuing a PhD in Imaging Science, he blends statistical modeling, data assimilation, and optimization techniques developed across academia and clinical research. His background includes hands-on roles at Brigham and Women's Hospital and the Martinos Center, where he tackled brain aging and cerebrovascular imaging studies, and earlier work building high-resolution air quality models and drift-detection simulations for sensor networks. Comfortable moving between theory and production, he has applied iterative methods for Bayesian inverse problems and practical analytics in environmental epidemiology. Based in Missouri, he brings a multidisciplinary toolkit—engineering, applied math, and systems analytics—that helps translate complex signals into actionable scientific insights. An understated strength is his consistent ability to connect domain knowledge (medicine, climate, fluid dynamics) to robust computational solutions.
code9 years of coding experience
job4 years of employment as a software developer
bookBachelor of Engineering (BE), Electrical and Electronics Engineering, Bachelor of Engineering (BE), Electrical and Electronics Engineering at PES University
bookMasters in Industrial and Systems Engineering, Systems Analytics and Optimization, Masters in Industrial and Systems Engineering, Systems Analytics and Optimization at North Carolina State University
bookDoctor of Philosophy - PhD, Imaging Science, Doctor of Philosophy - PhD, Imaging Science at Washington University in St. Louis
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Github Skills (9)

python9
machine-learning9
deep-learning9
pytorch9
variance8
data-science8
tensorflow8
jax7
neural-network6

Programming languages (2)

CPython

Github contributions (5)

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Fast algorithm for Fully Overlapped Allan Variance and Total Variance
Contributions:19 commits, 14 pushes, 1 branch in 5 months
totalallan-variancevariance
Contributions:40 pushes, 1 branch in 1 month
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