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Sandra Luisa Rodriguez Zas is an Affiliate Professor in the Department of Statistics at Illinois University. She holds additional roles as Professor across various departments including Animal Sciences, Nutritional Sciences, Crop Sciences, and Neuroscience Program. Dr. Rodriguez Zas also serves as Associate Head and Director of Graduate Studies in Animal Sciences. Her academic interests extend into biostatistics and quantitative biology, and she is involved with the National Center for Supercomputing Applications, contributing to digital agriculture initiatives. With a strong background in statistical applications within biological contexts, she leads research that blends data science and biological inquiry. Her work often focuses on innovative methodologies and applications that enhance the understanding of biological processes and improve outcomes in agriculture and nutrition. Sandra is deeply invested in fostering education and research excellence at her institution, mentoring students and collaborating with peers to broaden the impact and reach of statistical science in relevant fields.
Department of Statistics, University of Illinois • Urbana, IL
Teaching and conducting research in the Department of Statistics.
Animal Sciences, University of Illinois • Urbana, IL
Leading research and education in the field of Animal Sciences.
Animal Sciences, University of Illinois • Urbana, IL
Overseeing graduate studies in Animal Sciences.
Nutritional Sciences, University of Illinois • Urbana, IL
Researching statistical methodologies in nutritional sciences.
Crop Sciences, University of Illinois • Urbana, IL
Conducting advanced research in crop sciences.
Neuroscience Program, University of Illinois • Urbana, IL
Engaging in neuroscientific research and education.
National Center for Supercomputing Applications, University of Illinois • Urbana, IL
Collaborating on computational research projects.
Center for Digital Agriculture, National Center for Supercomputing Applications, University of Illinois • Urbana, IL
Innovating digital agriculture applications.
GRE is optional for admission to all graduate programs in Statistics. Full status admission requires higher language scores than limited status.