Sandra Batista
Sandra Batista
Computer Science

Sandra Batista

Assistant Teaching Professor

Faculty Information

Research and Interests
  • Stochastic modeling techniques applied to probabilistic complexity classes and computational biology, especially gene expression data
  • Development of efficient statistical methods for large data sets by applying algorithmic analysis, time and space complexity analysis and careful systems programming
Notable Publications and Books
  • “Interaction models matter: an efficient, flexible computational framework for model-specific investigation of epistasis”, BioData Mining, February 2024. Sandra Batista, Vered Senderovich Madar, Philip J. Freda, Priyanka Bhandary, Attri Ghosh, Nicholas Matsumoto, Apurva S. Chitre, Abraham A. Palmer and Jason H. Moore
  • “FastLSU: A more practical approach for the Benjamini-Hochberg FDR controlling procedure for huge-scale testing problems,” Bioinformatics June 2016. Vered Madar and Sandra Batista
Education
PhD, (2009) UCLA, Computer Science