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      <description>&lt;p&gt;Dana Moochnick is a junior studying Biomedical Engineering at UMass Amherst who is preparing to pursue a PhD in Computational Biology and is excited about using machine learning and neural networks to tackle problems in antimicrobial resistance for tuberculosis research. Her path to dry-lab research has taken her from wet-lab neural engineering to studying how fluid flow and shear stress in microfluidic systems affect human microglia, along with computational fluid dynamics work in the Glymphatics system, giving her a broad view of how engineering and biology come together. Most recently, she spent the summer in the Computer-Aided Drug Discovery group at Novartis Biomedical Research, where she completed an independent project on machine learning for peptide property prediction and is excited to bring those lessons, tools, and ideas into her work in the Green Lab!&lt;/p&gt;
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