George Mason University
George Mason University Mason
George Mason University

Christopher Kauffman

Term Assistant Professor, Computer Science

Contact Information MORE LESS

  • 703-993-5194 (office)
  • Nguyen Engineering Building, 5341
    4400 University Drive
    Fairfax, VA 22030

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Biography

Machine learning tools that predict DNA formation.

Protein structure prediction is one of the most important goals currently faced in theoretical chemistry and bioinformatics. Understanding the mechanism and pattern of protein structure prediction is highly valued in medical applications. Christopher Kauffman’s research interests are in developing machine learning, statistics, and optimization methods to answer questions raised in biology with a particular emphasis on protein structure problems. More specifically, his recent research has dealt in computational prediction of protein interactions with DNA and small molecules (ligands) and in developing machine learning tools to predict protein structure. Kauffman has a strong commitment to teaching and have enjoyed several previous college teaching experiences, at the University of Minnesota and Concordia University of St. Paul.

Degrees

PhD, Computer Science, University of Minnesota (2012)

MS, Computer Science, University of Minnesota (2010)

BS, Computer Science, University of Minnesota (2004)

More Information

Appointment: Term

Faculty Rank: Assistant Professor

Research

Research Interests

Data Mining, Machine Learning, Bioinformatics

Expertise