Biomedical Informatics and Data Science

Program affiliation
Biomedical Informatics and Data Science
Cancer Biology
Molecular Genetics and Genomics

Research summary
Causes and prevention of breast cancer, premalignant lesions, risk stratification

Key words
breast cancer, cancer, genetic epidemiology, hormones, obesity, obesity and malnutrition

Program affiliation
Human and Statistical Genetics
Neurosciences
Biomedical Informatics and Data Science
Molecular Genetics and Genomics

Research summary
The goal of my lab is to understand the biology of neurodegeneration by using high-dimensional omic data and functional genomic approaches.

Key words
Neurodegeneration, Alzheimer, genetics, genomics, proteomics, system biology, molecular phenotyping, functional genomics

Program affiliation
Molecular Cell Biology
Biochemistry Biophysics and Structural Biology
Biomedical Informatics and Data Science

Research summary
Mammalian gene expression: Regulation through mRNA editing and RNA stabilization

Key words
gene expression, RNA, cancer, mRNA editing, mRNA stability

Program affiliation
Ecology and Evolutionary Biology
Biomedical Informatics and Data Science
Biochemistry Biophysics and Structural Biology
Computational and Systems Biology
Plant and Microbial Biosciences

Research summary
We integrate metabolic, movement, and community ecology to address core and applied ecological and evolutionary questions. Spanning diverse species and habitats, our research links individual physiology to global biodiversity patterns using theory, data, experiments, and field studies. We aim to understand ecological systems, including human impacts, to inform effective management and policy.

Key words
metabolism, movement ecology, community ecology, behavior, species interactions, human-nature interactions, biogeography, global change, computer vision, eco-informatics, complex systems, biodiversity, great river systems, ecological management

Program affiliation
Biomedical Informatics and Data Science

Research summary
Developing integrative multi-omics and machine learning techniques for single-cell data sets in developmental biology and medicine

Key words
Bioinformatics, Multi-omics, Genomics, Epigenetics, Machine learning

Program affiliation
Computational and Systems Biology
Immunology
Cancer Biology
Molecular Genetics and Genomics
Biomedical Informatics and Data Science

Research summary
My research interests lie in integrating and applying novel computational biology techniques with mechanistic experimental immunology to understand drivers of response and resistance to NK cell therapies for cancer

Key words
natural killer cells, computational biology, single-cell sequencing, immunotherapy, nk cells

Program affiliation
Biomedical Informatics and Data Science
Cancer Biology

Research summary
Translational research in the intersection of computational breast imaging, artificial intelligence, and informatics towards improving breast cancer screening

Key words
breast cancer, computational imaging analytics, machine learning, deep learning, artificial intelligence, big data, data science, precision medicine

Program affiliation
Neurosciences
Biomedical Informatics and Data Science

Research summary
Our laboratory develops and uses novel neuroanatomical and neuroimaging computerized brain mapping methods to study the structure, function, connectivity, parcellation, development, and evolution of cerebral cortex in humans and nonhuman primates in health and disease.

Key words
Neuroanatomy Connectomics Neuroimaging Neuroradiology Medical Image Analysis

Program affiliation
Biomedical Informatics and Data Science
Computational and Systems Biology
Molecular Cell Biology
Biochemistry Biophysics and Structural Biology

Research summary
Computational mass spectrometry and proteomics

Key words
Mass Spectrometry, Proteomics, Bioinformatics

Program affiliation
Biomedical Informatics and Data Science
Molecular Genetics and Genomics
Cancer Biology

Research summary

Key words