Biophysics Research Group

Group Meetings

Title Time Day Room
Della Corte Protein Engineering 3 pm W N288

Biophysics Faculty Members

Robert Davis

Robert Davis
Robert Davis

Research Specialty: Applied Micro and Nanoscale Materials

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Research Projects

  • Biomolecular Electronics
    Carbon nanotubes, proteins and nucleic acids are candidate structures for self assembled molecular electronic materials for sensing and the internet of things. .
    Suitable for
    • Undergraduate students
    • Graduate students
    • REU students
  • Nanostructures and Micromachines
    We are developing three dimensional microscale structures from vertically grown nanotube forests. We are using films of carbon atoms, few atoms thick, to make ultrastrong materials. 
    Suitable for
    • Undergraduate students
    • Graduate students
    • REU students
  • Biological Separations
    This work is focused on capture of cells and molecules using precision filters for the detection of cancer and antibiotic resistant bacteria. 
    Suitable for
    • Undergraduate students
    • Graduate students

Dennis Della Corte

Dennis Della Corte
Dennis Della Corte

Research Specialty: Computational Protein Design, Molecular Dynamics Simulations, ForceFields calculations, precompetitive pharma industry consortia

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Research Projects

  • Protein Engineering

    We develop and apply AI methods to the design of proteins.

    Suggested Preparation:

    Python programming.

    Structural biology (know your amino acids).


    Suitable for
    • Undergraduate students
    • Graduate students
  • Data Science in Nutrition

    We develop data science tools to understand the link between dietary intakes and health outcomes.

    Suggested Preparation:

    Statistics.

    Python/R.

    Suitable for
    • Undergraduate students
    • Graduate students
  • AI in Medicine

    We train AI models for applications in the medical field, particular emphasis on automatic prostate cancer diagnosis.

    Suggested Preparation:

    Python.

    Machine Learning (CS 474).

    Suitable for
    • Undergraduate students
    • Graduate students

Gus Hart

Gus Hart
Gus Hart

Research Specialty: Machine Learning, Modeling and Simulation, Biophysics

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Research Projects

  • Image AI for bacterial tomograms

    We are developing AI to identify nanostructures inside of bacteria. In collaboration with Grant Jensen's lab (who has about 40,000 images taken over 20 years) we are working to understand basic life processes. Our focus includes some "standard" computer vision methods as well as new methods based on neural networks, transformers, etc. We also collaborate with Bryan Morse's lab in CS.

    Suggested Preparation:

    A work ethic, excitement for research, the ability to balance research and homework, enthusiasm for new things, the desire to contribute positively to a team. Programming and software skills or the desire to develop them. Enthusiasm for math and more math.

    Suitable for
    • Undergraduate students
    • Graduate students
    • REU students