Jack Sheehan
Rice University
SOURCES Intern
Expertise: computational seismology, unix/linux-based operating systems, MATLAB, Python, GNSS displacement modeling, acoustic emission detection
About Me
Publications
Jack Sheehan was a 2021 SCEC intern who is now a PhD Candidate at Harvard University, working in Dr. Rebecca Fischer's Lab. Eventually, he intends to work as a planetary seismologist, studying the relationship between planetary habitability and tectonics.
During his SOURCES internship, Jack worked with Dr. Valerie Sahakian at the University of Oregon. His project entailed studying site effects at GNSS stations in Japan, in order to determine the accuracy of the peak ground displacement model. Jack contributed to the development of the model using Python, working to simplify the structure and lower prediction times, consequently benefiting early warning systems.
Jack has also studied the acoustic emissions of intermediate-depth earthquakes (IDEQs) through an internship with the Incorporated Research Institutions for Seismology (IRIS) consortium. Here, he worked with Dr. Zhigang Peng at Georgia Tech. Jack utilized broadband transducers to replicate earthquake events in the laboratory, and applied deep-learning filter techniques to detect acoustic events. Jack’s work contributed to the understanding of laboratory simulations as a method of replicating and studying IDEQs.
During his SOURCES internship, Jack worked with Dr. Valerie Sahakian at the University of Oregon. His project entailed studying site effects at GNSS stations in Japan, in order to determine the accuracy of the peak ground displacement model. Jack contributed to the development of the model using Python, working to simplify the structure and lower prediction times, consequently benefiting early warning systems.
Jack has also studied the acoustic emissions of intermediate-depth earthquakes (IDEQs) through an internship with the Incorporated Research Institutions for Seismology (IRIS) consortium. Here, he worked with Dr. Zhigang Peng at Georgia Tech. Jack utilized broadband transducers to replicate earthquake events in the laboratory, and applied deep-learning filter techniques to detect acoustic events. Jack’s work contributed to the understanding of laboratory simulations as a method of replicating and studying IDEQs.
