I am an intellectually curious and principled problem solver driven to work within a team to understand, determine, and create optimal solutions for real world impact. I am excited by the opportunity to use data to obtain insights into problems which might otherwise be unsolvable.
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Machine Learning EngineerSpotify Jun 2022 - Jan 2024Nashville, Tennessee, United States -
Postdoctoral ResearcherThe University Of Texas At Austin Jan 2020 - May 2022Austin, Texas, United States- First author publication on statistical uncertainty quantification in Computational Geosciences- Continued work with ExxonMobil on statistical uncertainty quantification (continuation of project from PhD)- Developed software for the US Army Corp of Engineers Adaptive Hydraulics (AdH) modeling system -
Graduate Student Research AssistantThe University Of Texas At Austin Aug 2014 - Dec 2019- Data-driven inverse problems for prediction and decision-making in collaboration with ExxonMobil- Developed MCMC algorithm for the efficient solution of Bayesian inverse problems with time series data- Simulation of porous media flow to model petroleum reservoir behavior- Developed Python implementations of reservoir models and statistical sampling methods
Sam E. Education Details
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Computational Science -
Magna Cum Laude
Frequently Asked Questions about Sam E.
What is Sam E.'s role at the current company?
Sam E.'s current role is Machine Learning Engineer | Computational Scientist.
What schools did Sam E. attend?
Sam E. attended The University Of Texas At Austin, University Of Tennessee, Knoxville.
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