Stanford University
Showing 4,561-4,580 of 6,043 Results
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Alay Shah
Masters Student in Chemical Engineering, admitted Spring 2024
Bio→ Graduate Chemical Engineering student.
→ Previously, Process Engineer at Kite, a Gilead Company.
→ Bachelors in Biomedical Engineering at the University of Texas, Austin.
→ 5 years of experience working in cGMP pharmaceutical manufacturing and upstream process development. Working knowledge of cell and gene therapy, lean manufacturing, risk assessment &mitigation, IOPQ Validation, quality systems, eQRMS, asset lifecycle management, SAP ERP, Syncade MES, Oracle EBS, LIMS, ISO standards and FDA regulations.
→ Through Stanford's MS program, I aim to build upon my biomanufacturing experience, further developing my skillsets in bioreactor design and data analytics to model and improve standardized development of therapeutics for patients -
Serena Shah
Ph.D. Student in History, admitted Autumn 2021
Stanford Stdnt Employee-Summer, History DepartmentBioSerena is a PhD candidate in History in the United States field. She is in her fifth year and she works on the history of ideas in the nineteenth century, especially Americans' ideas about antiquity. Her dissertation investigates the history of oriental scholarship in the United States. It examines Americans' post-Civil War investment in pre-classical antiquity, and the 3,000-4,000 year-old history of the Bronze Age Orient (the site of the most ancient "Eastern" civilizations, or the modern Middle East). She is also currently writing a research article on Greek and Roman slave-naming practices and the classicism of American slavery.
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Yash Shah
Ph.D. Student in Computer Science, admitted Autumn 2025
Current Research and Scholarly InterestsMy research interests lie in developing neuroconnectionist mechanistic models of the brain that deepen our understanding of neural computation and representations. I aim to explore how physiological and anatomical constraints shape cortical topography and, in turn, scaffold development. I am particularly intrigued by observing certain behaviors emerge from mechanistic models, even when the model was not optimized to do so.
