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Dave Pagliarini, PhD

Hugo F. and Ina C. Urbauer Professor

Program affiliation
Biochemistry Biophysics and Structural Biology
Molecular Cell Biology
Molecular Genetics and Genomics
Computational and Systems Biology

Research summary
We seek to understand the cellular and biochemical underpinnings of mitochondrial dysfunction in human diseases. Our work integrates large-scale methodologies with traditional biochemistry and cell biology to investigate the modulation, adaptation, and basic metabolic function of mitochondria.

Key words
Mitochondria, Protein biochemistry, Genetic screening, Metabolism, Biosynthesis, Orphan protein function, Proteomics, Metabolomics, Kinases and phosphates, Metabolic disease, Systems biochemistry

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Michael Paley, MD, PhD

Assistant Professor

Program affiliation
Immunology
Computational and Systems Biology
Neurosciences

Research summary
Mechanisms of inflammation in immune-privileged organs

Key words

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Rohit Pappu, PhD

Gene K Beare Distinguished Professor

Program affiliation
Biochemistry Biophysics and Structural Biology
Computational and Systems Biology
Plant and Microbial Biosciences

Research summary
Biophysics of intrinsically disordered proteins

Key words
Huntington`s disease; Polyglutamine Aggregation; Intrinsically Disordered Proteins; Phase transitions in cell biology; Self-assembly; Transcriptional regulation; Small-scale Systems Biology & Interaction Networks;

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Bhuvic Patel, MD

Assistant Professor

Program affiliation
Neurosciences
Cancer Biology
Computational and Systems Biology

Research summary
Our lab employs cutting-edge molecular biology techniques to investigate the genetic, epigenetic, and cellular alterations driving the initiation, progression, and therapeutic resistance of brain tumors.

Key words
brain tumors, systems biology, genetics, neurosurgery, neurooncology

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Gary Patti, PhD

Michael and Tana Powell Professor

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

Research summary
To understand the metabolic crosstalk between cells and tissues in disease models such as cancer by using isotopes and metabolomics

Key words
metabolism, metabolomics, mass spectrometry, bioinformatics, imaging, cancer, tumor microenvironment, isotope tracing

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Philip Payne, PhD, FACMI

Janet and Bernard Becker Professor

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

Research summary
Translational Bioinformatics, Clinical Research Informatics

Key words
Biomedical Informatics, Data Science, Data Analytics, Clinical Research, Translational Research

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David Piston, PhD

Edward Mallinckrodt, Jr. Professor and Head of the Department of Cell Biology & Physiology

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

Research summary
Studies of the Molecular Pathways of Islet Hormone Secretion

Key words
Diabetes, Biophysics, Systems Biology, Computational Biology, Hyperspectral Imaging, Glucagon

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Jay Ponder, PhD

Associate Professor

Program affiliation
Biochemistry Biophysics and Structural Biology
Computational and Systems Biology

Research summary
Computational chemistry, protein engineering, theoretical protein structure and folding

Key words
molecular modeling, protein structure, computational chemistry, molecular dynamics simulation, protein engineering

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Michael Province, PhD

Professor

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

Research summary
Mathematical development of new statistical genetics methodology for complex traits

Key words
biostatistics, genetic epidemiology, human genetics, mathematical modeling, statistical genetics, systems biology

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Sidharth Puram, MD, PhD

Associate Professor

Program affiliation
Molecular Genetics and Genomics
Cancer Biology
Computational and Systems Biology
Developmental Regenerative and Stem Cell Biology

Research summary
Understanding the role of tumor heterogeneity in cancer biology, including its contributions to cancer development, growth, metastasis, and treatment resistance mechanisms, in order to translate these insights into new diagnostics and novel therapeutics

Key words
tumor heterogeneity; single cell; spatial transcriptomics; head and neck cancer; signaling