Dr. Mohammad Abdo joined Idaho National Laboratory in 2019 from Kansas State University in Manhattan KS, where he served during 2018–2019 as an Instructor in the Mechanical and Nuclear Engineering Department. In 2017–2018, he conducted research as a Postdoctoral Research Associate and participated in constructing a time-dependent surrogate model for the TRIGA II reactor, a first step to propagate uncertainties over 70 years of reactor operations. Before that, he earned his Ph.D. from North Carolina State University and spent a year as a Postdoctoral Researcher. At INL, he is involved in several projects related to machine learning, for instance, he participated in a surrogate-based sensitivity-informed sodium loop conceptual design for the TREAT reactor. He is also working on building metamodels to predict effective properties for advanced materials (i.e., porous materials and additively manufactured materials). In addition, he is exploring the use of machine learning to accelerate revolutionary algorithms for plant optimization under uncertainties for LWRS/RISA.