Ahinoam Pollack
Head Of Reservoir R&D at Zanskar Geothermal & Minerals, Inc.
North Brabant, Netherlands
Summary
👤
Senior🎓
Top SchoolAhinoam Pollack is a data scientist and reservoir R&D leader with a decade of experience melding deep learning, flow simulation and geophysics to advance geothermal and subsurface solutions. Currently Head of Reservoir R&D at Zanskar, she previously led a team of data scientists at Walmart Global Tech where she applied causal inference, large-scale ETL, and ML models for recommendations and ad impact. Her academic track record includes a PhD from Stanford, NSF Fellowship, and multiple peer-reviewed publications on seismic inversion and geothermal optimization, reflecting a rare blend of field-domain expertise and production ML. She has hands-on experience across HPC flow simulations, GIS, PySpark/airflow pipelines and scientific programming from C and Mathematica to PyTorch, and has even authored patent applications in computer vision. Based in North Brabant, Netherlands, she brings both academic rigor and product-oriented delivery to commercial geothermal innovation.
10 years of coding experience
11 years of employment as a software developer
Stanford Ignite, Certificate Program in Innovation and Entrepreneurship 2018, Stanford Ignite 2018, Stanford Ignite, Certificate Program in Innovation and Entrepreneurship 2018, Stanford Ignite 2018 at Stanford University Graduate School of BusinessBachelor's degree, Geophysics, Bachelor's degree, Geophysics at Tel Aviv UniversityDoctor of Philosophy - PhD, Energy Resources Engineering, Doctor of Philosophy - PhD, Energy Resources Engineering at Stanford University
English, Hebrew
Github Skills (48)
geostatistics9
simulation9
geoscience9
geospatial9
geopandas9
geography9
open-data9
geology9
vtk9
geophysics9
python8
gis8
simulations8
topological-data-analysis8
open-science8
Programming languages (4)
Github contributions (5)
ahinoamp/PyNoddyInversion
Aug 2020 - Jul 2022
Contributions:83 commits, 58 pushes, 1 branch in 1 year 11 months
ahinoamp/Stochastic-GeoModel-Patua-SGW
Jan 2020 - May 2021
Stochastic geomodel generation for Patua Geothermal Field (accompanying repository to a Stanford Geothermal Workshop paper)
Contributions:18 commits, 17 pushes, 1 branch in 1 year 4 months
stanfordgeothermalgeophysicsworkshopstochastic
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