Judith W. Dexheimer, PhD
Judith W. Dexheimer, PhD, is a biomedical informatics researcher with an interest in clinical decision support systems with a goal of improving clinical care and patient outcomes. Her research focuses on decision support in the emergency department with an interest in the effectiveness and efficacy of alerts and reminders throughout the hospital.
Kevin R. Dufendach, MD, MS
Attending Neonatologist, Neonatology and Pulmonary Biology
Kevin R. Dufendach, MD, MS, focuses on user-centered design of electronic health record system software, incorporating human factors principles into the design of human-computer interfaces to better improve information communication for both provider-facing as well as patient-facing applications.
Eric S. Hall, PhD
Eric S. Hall, PhD, participates in a number of interdisciplinary teams investigating prematurity and neonatal disease. Along with coordinating data collection and exchange efforts, his work involves the application of knowledge discovery techniques to clinical data sets, as well as the development of software tools to assist in the summarization of clinical data and the modeling of clinical processes.
Kenneth M. Kaufman, PhD
Kenneth M. Kaufman, PhD, investigates the genetics of complex and rare disorders using genotyping and next-generation DNA technologies. The goal of his research is to identify the underling mechanisms and genetics that lead to complex diseases such as systemic lupus erythematosus.
Eric S. Kirkendall, MD, MBI, FAAP
Associate Chief Medical Information Officer, Information Services
Eric S. Kirkendall, MD, MBI, FAAP, performs research in patient safety, quality improvement, and resource utilization. He is particularly interested in the design and development of novel software and applications to address complex healthcare system challenges, employing techniques such as real-time data acquisition, advanced analytics, artificial intelligence, human factors, and user-centered design.
Kakajan Komurov , PhD
Member, Division of Experimental Hematology & Cancer Biology
Dr. Komurov's lab integrates computational and experimental approaches to characterize targetable cancer vulnerabilities. Their driver projects include exploiting oncogene-induced stress pathways in cancer therapy, and the study of mechanisms, implications and therapeutic vulnerabilities imposed by the severe epigenetic defects in a subset of cancers.
Visit the Komurov Lab.
Jarek Meller, PhD
Graduate Program Director, Division of Biomedical Informatics
Dr. Meller researches the development and application of computational methods for learning from biological data, including applications to protein structure prediction, mapping protein interactions, functional annotation and genotype-phenotype associations. State-of-the-art modeling and annotation tools developed by his group are publicly available.
Visit the Meller Lab.
Emily R. Miraldi, PhD
Dr. Miraldi is a computational and systems biologist who builds mathematical models of the immune system from high-dimensional genomics measurements. Her studies leverage biotechnologies, including chromatin accessibility and single-cell gene expression measurements, and require new computational methods development. Miraldi’s long-term goal is to use these models to reengineer immune-cell behavior in the context of autoimmune and other diseases.
Danny T. Y. Wu, PhD
Dr. Wu's research draws on human-computer interaction, data mining, information retrieval, and natural language processing to maximize the value of clinical data stored in electronic health records to improve care quality and support clinical and translational research.
Yan Xu, PhD
Director of Bioinformatics Core, Neonatology & Pulmonary Biology; Perinatal Institute
Dr. Xu's research interests include the identification of gene signatures, regulatory networks and biological pathways controlling lung development, maturation and diseases. She is actively involved in the development of detailed developmental lung-map via high-throughput single cell genomics to provide useful tools and resources for the lung research community.