Sambuddha (Sam) Ghosal is a Senior Data Scientist at Bayer, specializing in crop yield simulations and sustainable agriculture. With extensive experience as a postdoctoral researcher at MIT, Sam has led numerous interdisciplinary projects, focusing on machine learning and deep learning applications in healthcare and agriculture. Sam’s contributions include developing novel frameworks for disease detection in crops and advanced deep learning algorithms for medical imaging. With over six years of experience in research and project management, Sam has co-authored significant publications and played a vital role in various collaborative initiatives funded by national scientific institutes.
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