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About
Regular biography
Sandra Batista is a Professor in the Department of Computer Science at the University of California, Los Angeles. Her research focuses on stochastic modeling techniques applied to probabilistic complexity classes and computational biology, particularly gene expression data. She develops efficient statistical methods for large data sets using algorithmic analysis, time and space complexity analysis, and systems programming. Batista has contributed to notable publications, including 'Interaction models matter: an efficient, flexible computational framework for model-specific investigation of epistasis' and 'FastLSU: A more practical approach for the Benjamini-Hochberg FDR controlling procedure for huge-scale testing problems.'