Biomedical Informatics and Data Science

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

Research summary
Develop optical imaging technologies that address clinical problems with a focus on dermatology

Key words
dermatology imaging engineering pigmentation global heath

Program affiliation
Computational and Systems Biology
Cancer Biology
Biomedical Informatics and Data Science
Neurosciences

Research summary
I have multidisciplinary research interests spanning disease biology, engineering, imaging sciences, and informatics. Our work integrates computational imaging, artificial intelligence, and clinical/translational medicine to discover and validate quantitative imaging biomarkers and to define therapeutic endpoints in cancer and other diseases.

Key words
Computational medicine, cancer, systems biology and quantitative imaging

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

Research summary
Engineering to help cardiac arrhythmia patients feel better and live longer.

Key words
Bioelectricity, Arrhythmias, Modeling, Molecular Imaging, Electrophysiology, Induced Pluripotent Stem Cells

Program affiliation
Human and Statistical Genetics
Molecular Genetics and Genomics
Computational and Systems Biology
Biomedical Informatics and Data Science

Research summary
We use multiomic approaches to discover mechanisms underlying cardiovascular disease and leverage these insights to identify new drug targets.

Key words
Human genetics; cardiovascular disease

Program affiliation
Biochemistry Biophysics and Structural Biology
Computational and Systems Biology
Molecular Microbiology and Microbial Pathogenesis
Biomedical Informatics and Data Science
Molecular Genetics and Genomics

Research summary

Key words
protein design, protein engineering, influenza, RSV, machine learning , vaccines, antivirals

Program affiliation
Molecular Microbiology and Microbial Pathogenesis
Biomedical Informatics and Data Science

Research summary
Infectious causes of cancer and chronic diseases

Key words

Program affiliation
Computational and Systems Biology
Biomedical Informatics and Data Science

Research summary
We computationally model drug metabolism to predict drug toxicity and to assist pathologists in assessing histology images.

Key words
deep learning, metabolism, pathology, image analysis, machine learning, bioinformatics, biostatistics, chemical informatics, drug and target discovery, drug design

Program affiliation
Immunology
Molecular Genetics and Genomics
Biomedical Informatics and Data Science

Research summary
Our research focuses on employing multi-omics strategies to elucidate mechanisms of immune tolerance, identify novel targets for immunosuppression and develop precision approaches to immunosuppression management in advanced lung disease and lung transplantation.

Key words
immunology, genetics, T cell, neutrophil, transplant, pharmacogenetics, pharmacogenomics, immunogenetics, immunogenomics, clonal hematopoiesis, senescence, immune aging

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

Research summary
Applying concepts and methods from statistical physics and mathematics to the study of the brain

Key words
theoretical and computational neuroscience, statistical physics

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

Research summary
Understanding the genetic basis of root growth and environmental plasticity using phenomics

Key words
imaging; plant; genetics; computation; phenotyping; roots; plant x environment