Research interests include decision-making under risk, group decision-making, system architecture, and behavioral epidemiology. Current projects include computational analysis of expert groups, data and models of risky decision making, big data and health, and information flow and systems architecture.
Research examines regulation of the urea cycle and ammonia toxicity to the brain. Approaches include transcriptional and proteomic profiling to examine global changes in the liver and brain related to ammonia load, bioinformatics and functional genomics approaches to evaluate pathogenicity of non-coding sequence variants, and phenotypic screens for drugs that protect CNS from ammonia toxicity.
health equity, ELSI of data science, Machine learning, Artificial intelligence, Genomics and precision medicine, Race and medicine, health disparities, health disparity, Pharmacogenomics law, Life sciences law, International law, Bioinformatics
Dr. Callier is an expert in ethical, legal, and social implications (ELSI) of genomics and data science research. Her research focuses on intersection of bioethics, law, and emerging technologies to inform the equitable, ethical study of genomics. She has particular expertise in bioethics, life sciences law, and international law and she focuses on underrepresented, typically African diaspora populations, data protection and discrimination, and commercial uses of data and DNA. She is skilled in the application of normative and legal analysis, systematic reviews and has published interview data.
My interest includes pharmacoepidemiology, health outcome research, and medical informatics. I have been dedicated to addressing health and health care disparities among the VA populations since 2013. My collaboration with experts in different disciplines on several NIH- and Pharma-funded projects has resulted in peer-reviewed publications and conference presentations.
Dr. Choi’s research uses non-invasive imaging to assess coronary artery disease treatment strategies, atherosclerotic plaque composition, and their thrombotic complications, and he has developed new products for some of the world’s leading healthcare companies.
Prof Crandall studies the computational biology, population genetics, and bioinformatics of a variety of organisms, from crustaceans to agents of infectious diseases.
The scientific work of Marc Garbey covers multiple aspects of computational science in physics, chemistry, biology and ecology. In the last 10 years, his interest has shifted to medicine and more precisely surgery thanks to a long-term collaboration with Dr. B. L. Bass in general surgery and S. Berceli in vascular surgery.
Research focuses on developing novel and improved bioanalytical methods using LC-MS platforms and applying the combination of analytical chemistry, bioinformatics, and cell biology approaches to study human diseases.
Dr. Horvath’s research identifies biologically significant trends from Next Generation Sequencing (NGS) datasets. They develop novel strategies for logical mining of NGS data to extract meaningful sets of high-priority molecules and develop algorithms that quantitatively overlay matching DNA and RNA sequence layers to interlink encoded and regulatory genomic features. The lab applies these methodologies to disease conditions, including cancer, with a particular focus on Breast Cancer. Dr. Horvath’s goal is to identify molecules and pathways for novel diagnostic and preventive strategies.
Computer and systems architecture, especially cloud computing, data-intensive computing, file and storage systems, energy-efficient computer systems, and high-performance computing and storage for scientific applications.
Dr. Kaminski he is working to identify biomarkers that may guide future clinical trials in myasthenia gravis. He continues to study the basic biology of extraocular muscle.
Role of pathologists in value-based health care, accountable care organizations, medical workforce, clinical informatics, pathology informatics, hematopathology, lymphomas, bioinformatics
Research interests include pathophysiology and laboratory diagnosis of lymphomas and leukemias, effects of HIV infection on the hematopoietic system, bone marrow pathology, and the role of pathologists in coordinated patient care models.
Dr. Lee researches how regulation of genes and gene networks are linked to cancer. Current work includes examining gene networks in colon and prostate cancers, integrating cutting-edge bioinformatics and computational biology, delineating cellular mechanisms of resistance to targeted cancer therapies, and examining prostate cancer disparities in African Americans.
His work focuses on breast cancer treatment and prevention, including how BRCA1 suppresses tumors in gender- and tissue-specific manners, how tumor inhibiting estrogen receptor ß can be mobilized, and how adipose stromal cells can promote breast cancer progression.
The Wei Li lab uses the latest gene editing technology (including CRISPR/Cas9 and CRISPR/Cas9 screening) and new computational algorithms to better understand how coding and non-coding elements function especially in human cancer, and to further identify novel molecular targets to inform precision medicine.
Dr. Mazumder’s research is in applied bioinformatics and computational biochemistry strongly rooted in evolutionary biology. His research goals include conducting a comprehensive comparative analysis at the genomic level, developing methods to perform analysis of extra-large data sets within the context of evolutionary systems biology to identify experimental therapeutic targets, and creating a bioinformatics data-warehouse for “omics” data integration for cancer research. Ongoing research includes development of High-performance Integrated Virtual Environment (HIVE), a cloud-based environment that contains various bio-scientific tools for analysis of extra-large data; identification of vaccine and therapeutic targets for Hepatitis C Virus; identification of non-synonymous Single Nucleotide Variations (nsSNV) that affect post-translational modifications and their relationship to cancer and other diseases.
Areas of research include treatment of neck fractures, ochronotic arthopathy, and how surgeons make decisions about treatment when evidence is inconclusive.
Dr. Morizono's lab is interested in nitrogen metabolism, a central process for converting nutrients and waste products into the building blocks of cells, energy production and metabolic detoxification.
I am an evolutionary biologist with a primary interest in molecular systematics, phylogeography, and ecological genetics and genomics. My research has focused on a diversity of biological systems and questions conceptually unified by a phylogenetic perspective.
My current research focuses in two areas: molecular epidemiology of HIV and systems biology of host-microbe interactions in pediatric asthma. My long-term goals are to establish a network of partners with different expertise to understand the evolutionary and ecological dynamics of human microbial pathogens, improve on current strategies for monitoring and controlling HIV transmission, and develop more efficient treatments and classifications for asthma.
Theoretical and applied methods in statistical phylogenetics, using reptiles and amphibians as model groups. In an organismal context, I study the factors that drive speciation at local geographic scales, and the evolutionary forces responsible for broad-scale macroecological patterns in the distribution and diversity of extant species. I am also interested in statistical and analytical methodologies for divergence time estimation and phylogenetic inference using multi-locus datasets.
Research includesl families of biomolecules from nucleic acids to protein to lipids, and the primary techniques in the lab are x-ray and neutron scattering, force measurements, and biophysical modeling.
artificial intelligence (AI), natural language processing (NLP), machine learning and informatics, data analytics and child well-being, social media use
The Rahnavard Lab develops innovative computational, machine learning, deep learning, and statistical methods aimed at achieving actionable research outcomes in health and disease using high-dimensional omics data.
Understand how unique assemblage of microorganisms arise in extreme habitats. Explore functional diversity of microbial community in extreme habitats and evolutionary processes driving their diversity. Investigate evolutionary significances of major microbial groups. Cultivate previously uncultivated archaea and bacteria from various habitats
Dr. Shao's research applies mathematical knowledge and skills to solving medical informatics problems. He developed several new methods for bioinformatics tasks, including ICD-based topic modeling and stable topic extraction.
Bioinformatics and biomedical computing, Computer science, Computer security and information assurance, Networking and mobile computing, Pervasive computing
Dr. Workman’s research addresses how people obtain, process, and communicate biomedical information, and how discoveries in these areas can lead to improved patient outcomes. Her work includes the study of communication processes, risk factors in disease, improvement of surveillance systems, and understanding temporal processes in disease pathologies.
Conduct basic research in biophysics on topics ranging from big-data-driven biomolecular modeling and early prediction on the onset of complex diseases using computational simulations and deep learning techniques. His current research projects include trace metabolite detection in single-cell metabolomics, biomarker identification in autoimmune and cancer genomics, and decoding of neuronal circuits in mouse motor cortex.
I have special expertise in data mining, natural language processing, and consumer health informatics. My research vision is to leverage information for healthcare research and delivery. collaboration to develop interoperability standards for the broader clinical NLP community and have been developing a clinical NLP ecosystem.
