School of Computer Science Professorships Celebration

Artur Dubrawski
Alumni Research Professor of Computer Science

Artur Dubrawski considers himself a scientist and a practitioner as he has been tainted with real world entrepreneurial experience. He started a small company that turned out successful in integration and deployment of advanced computerized control systems and novel technological devices. He has also been affiliated with startups incorporated by others including Schenley Park Research, a data mining consultancy and a CMU spin-off where he was a scientist, and more recently with Aethon, a company building robots to automate transportation in hospitals where he served as a chief technical officer. Artur returned to CMU in 2003 to join the Robotics Institute's Auton Lab. He works on a range of applied data mining endeavors and teaches data mining to graduate students at the Heinz School of Information Systems and Public Policy (something he has been doing that since 2000). In his previous academic life, he worked mainly on machine learning approaches to mobile robot navigation and control as well as on other applications of adaptive autonomous systems. In 1995-1996, Artur spent a year at CMU with the AutonLab as a visiting Fulbright Scholar. In January 2006, Artur was named the director of the Auton Lab. 

Carleton Kingsford
Herbert A. Simon Professor of Computer Science

Carleton Kingsford received his Ph.D. in computer science from Princeton University in 2005 and was a postdoctoral fellow and assistant professor at the University of Maryland, College Park, before joining CMU in 2012. His research interests involve machine learning and algorithm design to solve key data analysis problems in computational systems biology and genomics. His research has as one of its central goals to identify novel formulations of biological problems that can be solved via new computational approaches thereby advancing the utility of automated analysis in biology.

He and his group have developed new algorithmic techniques for biological challenges such as quantifying gene expression, detecting genomic mutations, predicting protein function, reconstructing ancient biological pathways and improving genome assembly, among other problems. He and his collaborators have written several widely used bioinformatics analysis software packages, especially in the area of gene expression. The computational approaches his group has created are in use around the world in industrial and academic labs working in areas such as cancer, drug development and basic biology. He has co-authored more than 80 scientific publications. Carleton is a past recipient of an Alfred P.  Sloan Research Fellowship and an NSF CAREER award, and was one of 14 data-driven investigators selected by the Gordon and Betty Moore foundation from across all areas of science.