Biomedical Informatics and Data Science

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

Research summary
Computational neuroimaging using big data to study brain organization and mental health

Key words
mental health, fMRI, connectivity, big data, psychiatry, computational models

Program affiliation
Neurosciences
Biomedical Informatics and Data Science

Research summary
(1) Tourette syndrome neuroimaging; (2) Parkinson disease pharmacological imaging; (3) pharmacological activation neuroimaging

Key words
fMRI, neuroimaging, movement disorders, Tourette syndrome, pharmacology, PET, deep brain stimulation, DBS

Program affiliation
Neurosciences
Biomedical Informatics and Data Science

Research summary
Our research is focussed on improving the design of neuroprosthetic systems for post-stroke rehabilitation by examining the relationship between neuroplasticity and motor recovery and the mechanisms of neuroprosthetic-driven neuroplasticity.

Key words
Neuroprosthetic, Brain-Computer Interface, Motor Control, Stroke, Neuroplasticity

Program affiliation
Neurosciences
Biomedical Informatics and Data Science

Research summary
We use computational and naturalistic methods to study emotional and social neurodevelopment with the larger goal of identifying neurophenotypes of depression and anxiety symptoms and risk.

Key words
depression, anxiety, infancy, social cognition, emotion, neuroimaging, preschool, neurodevelopment

Program affiliation
Immunology
Developmental Regenerative and Stem Cell Biology
Molecular Cell Biology
Molecular Genetics and Genomics
Biomedical Informatics and Data Science

Research summary
We study disease-relevant cell and organ signaling pathways in inflammatory bowel disease using molecular and cell biology, multi-omics technologies, genetic murine models, and patient samples.

Key words
inflammatory bowel disease, mucosal immunity, innate lymphoid cells, human intestinal organoids, regenerative medicine, biomarker discovery, cellular stress response, perianal fistulizing Crohn's disease, eosinophilic esophagitis, colon cancer

Program affiliation
Biomedical Informatics and Data Science
Computational and Systems Biology
Molecular Microbiology and Microbial Pathogenesis
Cancer Biology

Research summary
Novel genetic, microbial, and lifestyle risk factors for lung and gastrointestinal cancers leveraging large-scale clinical and population-based cohorts with deep genomic and phenotypic data

Key words
Systems and translational cancer epidemiology, microbiome, inflammation and immune-metabolic networks

Program affiliation
Biomedical Informatics and Data Science
Neurosciences

Research summary

Key words

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

Research summary
We develop innovative computational analytical methodologies for studying brain health and neuropsychiatric and neurological disorders such as schizophrenia and Alzheimer’s. The lab employs AI and multimodal neuroimaging — including PET, MRI/fMRI, and EEG — as well as behavioral, clinical and genetic approaches for designing predictive models, identifying disease heterogeneity dimensions and facilitating precision medicine

Key words
Neuroimaging, neurophysics, neuroinformatics, computational neuroscience, clinical research, artificial intelligence, machine learning, deep learning, big data, neuropsychiatric and neurological disorders, neuroimaging-genetics, neuroimaging-behavior

Program affiliation
Biomedical Informatics and Data Science
Computational and Systems Biology

Research summary
Health and economic burden of obesity and surgical treatments of obesity, transplant outcomes, multiple myeloma prevention and control, and health disparities.

Key words

Program affiliation
Biomedical Informatics and Data Science

Research summary
I am a physician scientist with research interest in precision medicine and implemenation science. My research areas include tobacco treatment, pharmacogenomics, precision prevention, health informatics, and vulnerable populations.

Key words
Precision Medicine, Implementation Science, Health Informatics, Addiction, Tobacco