Statistical and Computational Analyses

Based on the developmental outcomes of infants in our study, PROGRESS aims to identify new genes that are associated with increased risk of autism and developmental differences. Our Statistical and Computational Analysis Core will also integrate genetic, caregiver, and infant developmental data to obtain a complete picture of a child’s risk of developing autism.

Project Leads

  • Melanie Wall, PhD

    • Professor of Biostatistics in Psychiatry
    • Statistical and Computational Analysis Core - Lead
  • Yufeng Shen, PhD

    • Associate Professor of Systems Biology and Biomedical Informatics
    • Genomics of Autism - Co-Lead
    • Statistical and Computational Analysis Core - Co-Lead