David Kainer

David Kainer is a Researcher in the Department of Computer Science at the University of Missouri, St. Louis, specializing in computational genomics and autism spectrum disorder research. His work focuses on identifying structural variants through non-Mendelian inheritance patterns to bridge the heritability gap in ASD.

His primary research interests include Computational Genomics, Structural Variant Analysis, and Gene Regulation mechanisms in neurodevelopmental disorders. Kainer employs advanced genomic techniques to analyze cryptic structural variations that affect gene expression in ASD, particularly through RNA splicing alterations and regulatory region disruptions.

His 2023 publication in Human Genetics and Genomics Advances demonstrates how structural variants in non-coding regions contribute to ASD pathogenesis, with specific findings in the GRIK2 gene and ACMSD regulatory regions. This work utilizes explainable AI for precision medicine subgroup identification.

Kainer collaborates extensively with institutions including Oak Ridge National Laboratory and Washington University in St. Louis, contributing to interdisciplinary genomic research with clinical applications.