Summary
James Clark is a post-doctoral research associate and gravitational-wave data analyst with 15 years of experience applying Bayesian inference, machine learning, and large-scale computing to noisy astrophysical signals. Based at Georgia Tech after roles at UMass Amherst and Cardiff University, he has led electromagnetically triggered transient searches for LIGO and driven R&D on signal-processing algorithms for detection and characterization. He combines deep astrophysics training (PhD, University of Glasgow) with hands-on mentoring and course development, bridging research, teaching, and collaboration review processes within large scientific teams. Known for integrating tools and methods across fields, he focuses on squeezing maximal information from weak signals in challenging computational environments.
15 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (PhD), Astrophysics, Doctor of Philosophy (PhD), Astrophysics at The University of Glasgow