Seven Texas A&M University faculty members named 2013 AAAS Fellows

AAASFellows

Seven Texas A&M University faculty have been named 2013 Fellows of the American Association for the Advancement of Science (AAAS) in recognition of their scientifically or socially distinguished efforts to advance science or its applications.

Texas A&M representatives among this year’s 388-member class, along with departmental affiliation and citation, include:

  • Nancy M. Amato (Department of Computer Science and Engineering), for contributions to the algorithmic foundations of motion planning, computational biology, computational geometry and parallel computing.
  • Perla Beatriz Balbuena (Artie McFerrin Department of Chemical Engineering), for distinguished contributions to the theory of interfacial processes, through molecular simulation of electrochemical reactions and materials properties at the nanoscale.
  • Raymond J. Carroll (Department of Statistics), for preeminent research on statistical theory and methods and their applications to medical science, and for excellence in teaching and in service to professional societies.
  • Jonathan C. Coopersmith (Department of History), for distinguished contributions to the history and philosophy of science and technology, as well as for dedicated leadership to the AAAS Section on History and Philosophy of Science.
  • Bani K. Mallick (Department of Statistics), for distinguished contributions to the field of Bayesian modeling and computation with application to different scientific fields, for leadership in promoting statistical science, and for service to the profession.
  • H. Joseph Newton (Department of Statistics), for contributions in statistical space-time methodology, in computational statistics, in introducing computer technology in teaching, and for many years of extraordinarily successful science higher education administration.
  • Matthew S. Sachs (Department of Biology), for genetic and molecular elucidation of mechanisms governing eukaryotic translation involving the ribosome, including translational attenuation and the roles of upstream open reading frames.

 

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