Andy Mcaliley is a PhD candidate and research assistant at Colorado School of Mines with over a decade of experience applying geophysics, machine learning, and inverse methods to interpret subsurface data. He specializes in integrating geophysical inversion with ML for controlled-source electromagnetic and thermal datasets, and has hands-on experience collecting and processing field EM, gravity, magnetic, and airborne surveys. Past roles include industry-focused internships at Sandia and Micro-g Lacoste, commercial geophysics consulting, and leading teaching labs that bridge theory with field practice. Andy combines strong computational modeling skills with practical survey design and a track record of publishing applied research on fracture and EM responses—bringing a pragmatic, data-driven approach to complex geophysical inverse problems.
10 years of coding experience
2 years of employment as a software developer
BS, Engineering Physics, BS, Engineering Physics at Colorado School of Mines
Contributions:23 reviews, 16 PRs, 12 pushes in 5 months
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