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.
9 years of coding experience
4 years of employment as a software developer
Bachelor of Engineering (BE), Electrical and Electronics Engineering, Bachelor of Engineering (BE), Electrical and Electronics Engineering at PES University
Masters in Industrial and Systems Engineering, Systems Analytics and Optimization, Masters in Industrial and Systems Engineering, Systems Analytics and Optimization at North Carolina State University
Doctor of Philosophy - PhD, Imaging Science, Doctor of Philosophy - PhD, Imaging Science at Washington University in St. Louis
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