6/17/2025
Machine Learning/AI for Biomedical Applications: Development of innovative advanced machine learning approaches including knowledge-guided meta-learning explainable machine learning frameworks that take advantage of the relationships between genes, cell types, clinical variables,…
6/17/2025
6/17/2025
My research focuses on the design and statistical analysis of human gene mapping data. Recently, my research has focused on the development of methods for analyzing genome-wide SNP data in…
6/17/2025
6/17/2025
My research lies in the areas of statistical genetics and genetic epidemiology with an emphasis on 1) analysis of genome-wide association studies in the multi-ethnic cohort studies, 2) gene-based analysis…
6/17/2025
Systems analysis has become a requirement for making sense of high-throughput data and for characterizing properties of biological networks. In order to extend these recent developments to medical applications, there…
6/17/2025
UVA "Machine Learning and Bioinformatics" group's research has been focused on developing and applying machine-learning techniques on important challenges in biomedicine, especially those dealing with enormous data sets. Taking an…
6/17/2025
1. Detection of genomic variation: I have developed several methods to identify and map variants (SNPs, indels, and large-scale rearrangements) from large-scale sequencing datasets. This includes identification and genotyping of…
6/17/2025
Dr. Rich's research is centered on understanding the genetic epidemiology of complex human disease, including the genes contributing to atherosclerosis, stroke and intermediate phenotypes (risk factors). These studies range from…
6/17/2025
We build intelligent systems based on mathematical modeling of signal and image data, with applications in biomedicine, mobile and remote sensing. We specialize on objective and quantitative modeling of data…
