joined the Earth Rover Program (ERP) in February 2025 as a computational seismologist with over 20 years of experience. He is known for pioneering advancements in imaging the Earth's interior, including inventing "Box Tomography," which allows precise imaging of small regions, even without seismic sources. He also developed the Distributional Finite Difference Method (DFDM) for highly accurate seismic wave modeling. Yder earned his PhD in Geophysics from UC Berkeley in 2010 and has worked in oceanography, rock physics, seismology, and applied mathematics at institutions like Ifremer, Lawrence Berkeley National Laboratory, and Inria. With over 20 published papers, he has received several prestigious awards, including the ASCR Leadership Computing Challenge (ALCC) from the U.S. Department of Energy. Yder looks forward to contributing to ERP’s mission by addressing exciting scientific challenges, such as modeling seismic wave propagation through soils and assessing their bio-hydro-physical properties.