The MIT Stephen A. Schwarzman Faculty of Computing named Armando Photo voltaic-Lezama because the inaugural Distinguished Faculty of Computing Professor, efficient July 1.
Photo voltaic-Lezama is the primary individual appointed to this place generously endowed by Professor Jae S. Lim of the Division of Electrical Engineering and Pc Science (EECS). Established within the MIT Schwarzman Faculty of Computing, the chair is being awarded to Photo voltaic-Lezama for being an impressive college member who’s acknowledged as a pacesetter and innovator.
“I’m happy to make this appointment and acknowledge Armando for his outstanding contributions to MIT and the scientific group,” says Daniel Huttenlocher, dean of the MIT Schwarzman Faculty of Computing and the Henry Ellis Warren Professor of Electrical Engineering and Pc Science. “I’m tremendously appreciative of Professor Lim for his considerate gesture in creating this new chair within the school, offering us with the chance to acknowledge the accomplishments of our college.”
Photo voltaic-Lezama, a professor {of electrical} engineering and laptop science, leads the Pc-Aided Programming Group within the Pc Science and Synthetic Intelligence Laboratory (CSAIL) that focuses on program synthesis, an space of analysis that lies on the intersection of programming methods and synthetic intelligence. The group’s analysis ranges from designing new evaluation methods and automatic reasoning mechanisms to creating new programming fashions that automate difficult points of programming.
A member of the EECS college since 2008, Photo voltaic-Lezama, who additionally serves because the affiliate director and chief working officer for CSAIL, is most enthusiastic about software program synthesis and its purposes to explicit program domains comparable to high-performance computing. He first discovered this area of interest space of program synthesis as a graduate pupil on the College of California at Berkeley, for which his thesis mission, a language known as Sketch, treats program synthesis as a search drawback during which the algorithms pare down the search area to make the search quicker and extra environment friendly. Since then, program synthesis analysis has tremendously expanded into the lively discipline it’s at this time.
