Dr. Olugboji leads the URSeismology lab and teaches graduate & undergraduate courses at the UofR. In addition to teaching and research, he promotes earth science education through public outreach lectures and invited talks, which he gives across the country and around the world: 
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Ziqi holds BS and MS degrees in Geophysics from University of Science and Technology of China (USTC) and China Earthquake Administration (CEA) respectively. During his Ph.D. at URSeismo, Ziqi's work focuses on developing new techniques to improve body wave imaging in some of the harshest environments on Earth, including oceans, sediments, and glaciers.
Steve Carr holds a Master's degree from Bowling Green University, where studied crustal stress changes along border faults caused by hydrological loading. He is now working on the seismic imaging of global mantle discontinuities.
Joel received his BSc in Geophysics from the University of Oklahoma, with research experience in seismic anisotropy and surface wave inversion. Joel is interested in geophysical modeling & subsurface imaging.
Canberk is a Ph.D. candidate in the Signal, Data, and Imaging Sciences (SDIS) Lab with the Department of Electrical and Computer Engineering at the University of Rochester. He is working on improving earth imaging with machine learning.
Thapasya is a data science grad student at UR, interested in projects within the realm of machine learning and deep learning. She is currently involved with several research projects at URSeismo, including global oceanic body wave imaging and ambient noise tomography.
Sayan is a Data Science Master's student at the University of Rochester. He joined us in February 2023, and is currently working on a Probabilistic Machine Learning model for imaging Earth’s Heterogeneous Mantle.
Emma is working on her BA in Data Science at the University of Rochester, concentrating in Earth and Environmental Science. She is interested in applying machine learning for the prediction and analysis of seismic signals.
Krish is an undergraduate computer science student at UofR. His interests include platform engineering, OS development, and embedded systems. Krish joined us in Fall 2023 and he looks forward to contributing to projects like 'Earth Imaging with Machine Learning' and 'Seismic Signal Denoising'.