Faculty

  • Ahmed Abdelfattah

    Assistant Professor, Robert J. and Nancy D. Carney Assistant Professor of Brain Science, Department of Neuroscience

    Research Area(s): Cell Signaling; Neurogenetics; Protein Dynamics

    Research interests: Protein engineering, fluorescence imaging, and advanced genetic approaches to visualize and study the brain.

  • Professor, Department of Chemistry

    Research Area(s): Biology of Aging; Protein Dynamics

    Research Interests: Establishing a chemically logical roadmap to understand how DNA damage relates to genetic change and human disease.

  • Professor of Medical Science, DEPARTMENT OF MOLECULAR BIOLOGY, CELL BIOLOGY, AND BIOCHEMISTRY

    Research Area(s): Computational Biology; Protein Dynamics

    Research Interests: Determining the structure, dynamics, interactions of large assemblies of intrinsically disordered proteins; protein aggregates implicated in Alzheimer’s Disease; liquid-liquid phase separated forms of RNA-binding proteins associated with inclusion formation in amyotrophic lateral sclerosis (ALS / Lou Gehrig's disease) and frontotemporal  dementia.

  • Kathryn Grive

    Assistant Professor of Obstetrics and Gynecology (Research)

    Kilguss Research Institute Room 108

    Research Area(s): Biology of Aging; Development; Protein Dynamics

    Research Interests: Ovarian development and function, female reproductive health, oncofertility

  • Associate Professor of Biology, Department of Molecular Biology, Cell Biology and Biochemistry

    Research Area(s): Cell Signaling; Protein Dynamics

    Research Interests: We use X-ray crystallography as our main research tool (together with biochemical and biophysical approaches) to study the structure and function of proteins and macromolecular complexes such as the ribosome.

  • Associate Professor, Department of Molecular Biology, Cell Biology and Biochemistry

    Research Area(s): Protein Dynamics

    Research Interests: Structural biology, Allostery, NMR spectroscopy, Biochemistry

  • Professor of Biomedicine, Department of Molecular Biology, Cell Biology and Biochemistry

    Research Area(s): Development; Protein Dynamics

    Research Interests: RNA; Development; RNA-protein dynamics

  • Associate Professor of Chemistry and Biology

    Research Area(s): Computational Biology; Protein Dynamics

    Research Areas: Biophysical and machine learning-based molecular modeling, biochemical computation. The Rubenstein group is focused on developing new quantum mechanical, statistical mechanical, and machine learning tools to predict biological phenomena, including the evolution of biomolecules.

  • Professor of Biology, Department of Molecular Biology, Cell Biology and Biochemistry

    Research Area(s): Cell Signaling; Computational Biology; Host-Pathogen Interactions; Protein Dynamics

    Research Interests: Elucidation of signaling networks relevant to human disease and exploring perturbations in phosphorylation patterns induced by pharmacological agents. Quantitative phosphoproteomic analysis by mass spectrometry is a technique that allows efficient profiling of tens of thousands of phosphorylation sites over time from cells and tissues.