Results for Computational Tools

Dr. Tan studies transcriptional regulation during normal development and disease. This involves the interplay of multiple transcription and epigenetic factors in a 3D chromosomal environment. Using experimental genomics and computational modeling, Dr. Tan investigates transcriptional regulatory networks underlying embryonic hematopoiesis, T cell differentiation, and pediatric leukemia.

Dr. Wang's research focuses on the development of bioinformatics methods to improve the understanding of the genetic basis of human diseases, and the integration of electronic health records and genomic information to facilitate genomic medicine on scale.

Dr. Jolley's research lab is focused on visualizing and quantifying congenitally abnormal heart structures using 3D imaging with the driving goal of informing surgical and interventional planning in children and adults with congenital heart disease.

Dr. Zampella’s research focuses on quantifying movement differences in autism and the role of movement in social communication. She is particularly interested in leveraging technology and dyadic paradigms to capture bidirectional interpersonal movement cues as they unfold in natural contexts.

Dr. Sgourakis’ research focuses on understanding the intricate molecular mechanisms that determine the vast repertoire of peptide antigens displayed by the proteins of the Major Histocompatibility Complex for immune surveillance by T cells and Natural Killer cells.

Whitney Guthrie, PhD, is a clinical psychologist and scientist at the Center for Autism Research. Dr. Guthrie’s research focuses on the early developmental trajectories that characterize autism spectrum disorder with the ultimate goal of improving early detection and intervention.

Dr. Zhou’s outstanding research interests include mitosis-coupled DNA methylation drift and inference of cell-type-specific epigenetic signals. He developed multiple computational tools for analyzing DNA methylation data and has actively contributed to cancer genomics data analysis.

Dr. Tsui's research interests include clinical informatics, natural language processing, artificial intelligence and machine learning, population informatics, data science, signal processing, mobile healthcare, and large real-time clinical production systems. He's published over 100 peer-reviewed papers.