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Biology with both high-throughput experimental (proteomics and genomics) and integrative computational (network analysis and machine learning) methodologies, aiming to understand gene functions and their
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: Developing a simplified version of the Cornell Net Carbohydrate and Protein System that can use feed ingredients, chemistry and animal inputs from India to predict nutrient requirements and milk yield in India
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Postdoctoral Associate to lead a multidisciplinary project focused on two primary tasks: Developing a simplified version of the Cornell Net Carbohydrate and Protein System that can use feed ingredients
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to develop and optimize protocols for various ‘omic techniques (single cell transcriptomics, proteomics, etc.) and other techniques for assaying protein function in non-model organisms at different life stages