Faculty

Predictive analytics (diagnostics and prognostics) using electronic health record data and public health data for individuals with critical illness and substance misuse

Study of how viruses take over cells, amplify themselves and cause certain diseases, including ~15% of human cancers.

Unraveling the role of microbiomes in the environment, human health and disease

Genetics of type 2 diabetes; gene networks and diabetes

Development of computational models of how people learn and use their representations using recent advances in computer science and statistics

Development and use of cellular scale systems to study basic cellular processes such as stem/progenitor cell regulation/differentiation in the mammary gland

Understanding the family of transcriptional regulators known as PAS proteins and their signal transduction pathways

Statistical problems in genetics, genomics, and molecular biology, particularly the development of improved methods for detecting and identifying genes contributing to variation in complex traits in humans and experimental organisms

The use of computational methods to improve decision-making in the domain of breast imaging in the pursuit of improving the population based screening and diagnosis of breast cancer

Creation of computational models of phenotypic variation using microscopy imaging and machine learning

Development of statistical learning methods for clinical and biomedical research

Statistics and image analysis

Utilization of electronic health record data and machine learning techniques, such as natural language processing and deep learning, to identify patients at risk for clinical deterioration, sepsis, acute kidney injury, and other syndromes of critical illness

Bioanalytical chemistry, mass spectrometry and proteomics

Mathematical and computational methods in biology and medicine

Development and application of machine-learning methods to inferring models that characterize networks of interactions among genes, proteins, clinical and environmental factors, and phenotypes of interest

Symbiotic associations between animals and microbes; Antibiotic discovery

Algorithms for problems in comparative genomics

Understanding how the tumor immune microenvironment changes toward finding immunotherapeutic biomarkers and targets

Genetic epidemiology; complex diseases and quantitative traits of aging such as Alzheimer’s disease, cognitive function, vitamin D deficiency, type 2 diabetes, and insulin resistance

Developing software that converts nonlinear programs into complementarity problems without human interaction, using automatic differentiation techniques

Genomics of yeast responses to environmental stress and starvation

Promoting effective, meaningful, equitable care and research for those living with and at risk for Alzheimer’s disease and related dementias

Development of computational approaches to reconstruct signaling pathways and transcriptional regulatory networks from multiple types of high-throughput data using techniques from machine learning and graph theory, with an emphasis on dynamic networks and disease applications in virology and oncology

Computer animation, video processing, and medical visualization to develop tools that help people express themselves in visual media, and to make these media more expressive, educational, and entertaining

Understanding the structure and function of microbiomes through use of multidisciplinary techniques

Multidisciplinary approach to understand disease etiology and pathophysiology; combining genetics and comprehensive patient electronic medical records (Phenome-Wide Association Studies) with functional genomics

Development and application of statistical and computational methods for problems arising in genome biology and computational biology

Development and application of statistical methods for statistical methods and software for the analysis of data from high-throughput genomics experiments

Systems biology; endocrine signaling

Development of metagenomic binning algorithms; Mining the cultured and uncultured biosphere for new drugs

Development of statistical and computational methods to study complex trait genetics

Development and implementation of rigorous genetic epidemiology and statistical genetics methods to improve the prevention, diagnosis, and treatment of complex diseases

Design of integrated quantitative and empirical platforms for the development of multi-scale, predictive models of biological systems

Development of machine learning models for predicting outcomes in hospitalized children

Development of Magnetic Resonance Imaging (MRI) based acquisition and post-processing methods to visualize diffusion and activation in the human brain

Skeletal adaptation to loading, stress fractures, genomic dissection of orthopedic traits, cruciate rupture in dogs, long bone fracture repair, and clinical trials evaluating canine arthritis treatment

Developing statistical methods to address problems in the biological sciences and genomic data integration

Theory, algorithms, and applications in signal and image processing, pattern recognition, biomedical data analysis, networking, and wireless communications

Examination of large genomics and immunological datasets to understand how genetic heterogeneity influences cellular immune responses, and in turn defines susceptibility or resistance to RNA viruses.

Data mining, artificial intelligence, machine learning, probabilistic methods, dynamical models, inductive logic programming, and statistical relational learning with applications to biological and medical data

Governance of large-scale biosciences research; protections for people who participate in research; data sharing; ethics of “big data” science and uses of race in research and medicine

Use of routinely collected clinical data to generate actionable insights to improve the quality and safety of emergency care for older adults

Population genetic processes that determine patterns and levels of variation throughout the genome, including natural selection, recombination, and mutations

Ecology and evolution of infectious diseases

Development and application of genome-scale analysis tools to study molecular and organismal evolution

Virtual reality; human-computer interaction; data visualization; computer graphics & vision

Development of fMRI and other multimodal neuroimaging methods and tools for neurotranslational research

Gut bacterial metabolism and human health

Development of statistical computational methods to identify the networks driving cellular functions by integrating different types of genome-wide datasets, that measure different aspects of the cellular state

Novel interventions to reduce and prevent healthcare associated infections

Development of models and interfaces that help researchers summarize general patterns, spot interesting relationships, and articulate uncertainty in multi-omics contexts

Surgeon informatics; natural language processing

Probabilistic methods applied to genomics; inflammatory disease mapping; cytokine networks; linkage disequilibrium theory; disease models

Chemistry and biology of single molecule systems with applications to genomic science

Computational and experimental studies of integral membrane proteins folding and structure

Investigation of how microbial and host (human) genetics interact during an infectious disease process; oral and system health informatics

Design and analysis of new algorithms for image analysis

Development of new methods to understand and combat cancer using photonics-based technologies

Development and application of novel bioanalytical tools

Systems biology, computational biology, bioinformatics, genomics, metagenomics, biotechnology, ruminant models for human host-microbe symbioses

Signal transduction in eukaryotes, development of genomic technologies, plasma membrane receptors and ion transporters, Arabidopsis thaliana

Development of machine learning approaches and bioinformatics tools to study complex biological systems, including brains and brain disorder

Statistical genomics; theoretical statistics; applications in selected areas of biology

Combined experimental-theoretical approaches for molecular virology; bioinformatics; pre-biotic chemistry; systems biology