Ben Lasscock
Director Digital Data Innovation
Houston, Texas, United States
Summary
👤
Senior🎓
Top SchoolBen Lasscock is a Director of Digital Data Innovation based in Houston with an 11-year track record translating advanced physics and Bayesian methods into production data science for energy, finance, and geophysics. Holding a PhD in theoretical physics, he has applied HPC, deep learning, and probabilistic inversion across roles from quantitative finance to seismic reservoir characterization and renewable energy analytics. At TGS he leads data solutions spanning well, seismic and wind-power analytics, combining research-grade algorithms with deployable engineering. He is notable for porting earthquake seismology Bayesian tools into industrial microseismic and tomography applications and for building A.I.-ready sparse azimuthal AVO and stochastic inversion frameworks. Colleagues value his ability to move between exploratory scientific research and pragmatic, scalable production systems.
11 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (PhD) Theoretical and Mathematical Physics, Doctor of Philosophy (PhD) Theoretical and Mathematical Physics at University of Adelaide
Github Skills (43)
chatgpt9
energy9
zarr9
attention-mechanism8
multidimensional-arrays8
machine-learning7
python7
cpp6
deep-learning6
scipy6
python-data5
bert5
dask5
leafletjs5
artificial-intelligence5
Programming languages (5)
Github contributions (5)
blasscoc/FocalMechClassifier
Jul 2016 - Feb 2021
Codes for classifying to focal mechanisms of earthquakes.
Contributions:5 commits, 2 PRs, 8 pushes in 4 years 7 months
pythonmachine-learningearthquakesfocal
brendonhall/blockhead
May 2022 - Oct 2024
Contributions:24 pushes, 2 branches, 1 comment in 2 years 5 months
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