Biomedical Informatics and Data Science

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

Research summary
Integrative large-scale pharmaco genomics analysis for target, signaling network, drug and drug combination discovery. Genomics data driven tumor-stromal communication discovery and modeling.

Key words

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

Research summary
Control and optimization of large-scale complex systems with applications ranging from quantum mechanics and neuroscience to bioinformatics

Key words
computational mathematics, control theory, optimization, dynamical systems, MRI, NMR, neuroscience

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

Research summary
Our research interests include developing innovative computational tools/methods and utilizing single-cell (epi)genomic techniques to gain a comprehensive understanding of gene regulation in mammalian models and human diseases, particularly in brain tumors and neuropsychiatric disorders.

Key words
Bioinformatics, Gene Regulation, Single-cell Epigenetics, Brain Tumors, Neurological Disorders

Program affiliation
Biomedical Informatics and Data Science

Research summary
Focused on the analysis of high dimensional omics (epigenetics and microbiome) data, subgroup identification, medical cost data, and joint models of multi-outcome data

Key words
Biostatistics, data science, machine learning, precision medicine, omics study, biomedical data mining

Program affiliation
Biomedical Informatics and Data Science

Research summary
Dr. Jose Marcio Luna’s research focuses on the development of translational tools for prediction and diagnosis of cancer from a multi-omics perspective in the era of precision medicine.

Key words
Machine Learning, Data Sciences, Data Integration, Optimization Theory and Computational Medical Imaging

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

Research summary
The Mansfeld Lab uses various non‑model species and a hypothesis driven, systems approach to examine how circadian rhythm, development, and tissue type impact plant defense.

Key words
Plant Pathology, Genomics, Bioinformatics, Disease Resistance

Program affiliation
Biomedical Informatics and Data Science
Neurosciences
Cancer Biology

Research summary
Artificial intelligence and informatics to support open science and translational research

Key words
informatics imaging AI open science

Program affiliation
Neurosciences
Biomedical Informatics and Data Science

Research summary

Key words

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

Research summary
Development of liquid biopsy approaches for brain tumors

Key words
liquid biopsy, cfDNA, genetics, epigenetics

Program affiliation
Neurosciences
Biomedical Informatics and Data Science

Research summary
My lab focuses on developing imaging methods to characterize brain fluid compartments, tissue microstructure and neurofluid dynamics in health and disease. In addition, by perturbing brain fluid compartments, we aim to develop novel therapeutic and diagnostic approaches.

Key words
Neurofluid Imaging, Translational Neuroimaging, Preclinical MRI, CSF, Computational Neuroanatomy, Focused Ultrasound, Neurodevelopment, Neurodegenerative Disorders, Drug Delivery