Faryad Sahneh joined Flagship Pioneering in 2021 as a Senior Scientist focused on enabling breakthrough innovations using artificial intelligence and machine learning. In this role, he develops machine learning and graph algorithms for large-scale, high-dimensional data and diverse biological experiments to support and accelerate Flagship’s mission.
Before joining Flagship Pioneering, Faryad was a computer science postdoctoral associate at the University of Arizona as part of the Transdisciplinary Research in the Principles of Data Science (TRIPODS) project funded by the National Science Foundation. Prior to that, he was a research assistant professor at Kansas State University and a visiting faculty and lecturer at Georgia Institute of Technology. His research included multilevel sparsification of large-scale networks and pioneering contributions to the foundations of multilayer networks. He also developed mathematical and computational models of infectious disease spreading dynamics to fight epidemics.
Faryad is passionate about promoting machine learning and artificial intelligence literacy and awareness. With support from the Data Science Institute, he initiated The Machine Learning Literacy Project while at the University of Arizona. He was also a leading member of a visioning lab which gathered diverse data science in collaboration with disciplinary experts, which led to the publication of “Ten Simple Rules” on the topic.
Faryad received his Ph.D. in Electrical Engineering and M.S. in Mechanical Engineering from Kansas State University.