Dr. Una-May O`Reilly
Dr. Una-May O’Reilly Massachusetts Institute of Technology in Cambridge
Una-May O'Reilly is the leader of the Anyscale Learning for All (ALFA) Group at the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL). She and her team work on Artificial Adversarial Intelligence, data analytics, and the way programming is understood by humans and machines. Current research projects focus on how methods from the field of artificial intelligence can be used in the area of IT security.
Una-May O'Reilly is a pioneer in the field of genetic programming, a subfield of evolutionary algorithms that fall under the heading of artificial intelligence. Genetic programming is a process inspired by biology in which, starting from (usually) random programs, analogous operations from evolution are applied. With the help of a so-called fitness function, only the best functioning programs are selected in each generation, which are then used for reproduction by cross combination as well as spontaneous mutation.
For her work, Una-May O'Reilly received the EvoStar Award for Excellence in Evolutionary Computation in Europe and was also selected to serve on the board of the ACM Interest Group on Genetic and Evolutionary Computation (SIGevo). Her keynote address will include how coevolutionary algorithms can be paired with AI planners to find cyber defense strategies against previously unknown attack patterns.