College of Computer, Mathematical, and Natural Sciences
The University of Maryland’s College of Computer, Mathematical, and Natural Sciences (CMNS) announced the promotion of 14 tenured/tenure-track faculty members, effective July 1, 2018.
Those promoted to the rank of Professor:
Volker Briken, cell biology and molecular genetics, joined CMNS in 2004. Briken studies how tuberculosis-causing bacteria manipulate infected human cells in ways that allow the disease to persist in patients.
Hal Daumé III, computer science, joined CMNS in 2010. Daumé develops methods for teaching computers to learn models of human language through natural interactions with humans. In addition, Daumé studies how to promote fairness and transparency in the learned models.
Michelle Girvan, physics, joined CMNS in 2007. Girvan combines methods from statistical physics, nonlinear dynamics and computer science to develop network science tools that can address problems in computational biology and sociophysics.
Laurent Montési, geology, joined CMNS in 2007. Montési studies the dynamics of fractures and molten rock inside planets including Earth and Mars, and the satellites of Jupiter and Saturn, with the goal of modeling the formation of features such as mountains, volcanoes, mid-ocean ridges and deep-sea trenches.
Min Ouyang, physics, joined CMNS in 2004. Ouyang combines nanoscale ultrafast laser technology with synthesis of nanomaterials at the atomic scale for applications that range from quantum information processing to novel textile technology.
Yanir A. Rubinstein, mathematics, joined CMNS in 2012. Rubinstein works on problems in mathematical analysis and partial differential equations, as well as differential geometry, algebraic geometry and convex geometry. His work also touches on the interface of pure and applied mathematics in problems in optimal transport and numerical analysis. He recently co-edited a book titled Directions for Mathematics Research Experience for Undergraduates.
Joshua Singer, biology, joined CMNS in 2012. Singer uses the mammalian retina as a model to study how the behavior of neurons and their connections affect the output of neuronal circuits. The results of Singer’s work may contribute to therapies for human …