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Nikhil Shah

Nikhil Shah


Nikhil read Mathematics at the University of Cambridge and completed his doctorate at Imperial College London which gave rise to patented algorithmic developments in the theory of seismic imaging by waveform inversion. 

Whilst working for Chevron in Earth Science R&D located initially in San Ramon, California and subsequently in Houston, Texas he was responsible for leading technology pilots of new seismic imaging algorithms applied to fields located in basins offshore Brazil and Nigeria.

He was appointed CEO of S-Cube in 2019 to accelerate its growth through product development and commercialisation. Under his leadership, the company has struck key partnerships with cloud providers, service companies and early adopters such as Chevron, Woodside and Petrobras. 

Prof Mike Warner

Prof Mike Warner

Technical Director

Mike is Professor of Geophysics at Imperial College London. He joined Imperial as the BP Lecturer 25 years ago, founded the Department of Earth Science and Engineering which now has over 600 students and hosts the internationally-recognised FULLWAVE research consortium of leading energy companies. He has over 150 peer-reviewed publications, including 7 in Nature.

He has received multiple awards from both the Society of Exploration Geophysics and the European Association of Geoscientists and Engineers (EAGE).

He invented Adaptive Waveform Inversion and won the Guido Bonarelli Award from EAGE in 2015 for this breakthrough. He has spearheaded the use of Machine Learning in FWI, and direct imaging using FWI. He is also applying FWI to brain imaging using ultrasound to facilitate rapid diagnosis and treatment for acute stroke and head trauma.

Adrian Umpleby

Adrian Umpleby

XWI Creator

Adrian is a leading figure in the mathematical and computational implementation of Full Waveform Inversion. He is known for creating the highly-adopted FULLWAVE3D software package as part of a world-leading research consortium at Imperial College London with members including many of the world’s largest energy companies.

At S-Cube he has created the XWI algorithm toolbox which differentiates S-Cube commercially from the rest of the industry and provides competitive advantage in terms of accuracy and robustness. His work has been instrumental in resource upgrades worth billions of dollars to date across assets around the world.


Tenice Nangoo

Tenice Nangoo

Operations Lead

Tenice is a geophysical data analyst with expertise across the spectrum from seismic acquisition to processing to quantiative interpretation. 

Specialising in seismic waveform inversion during her PhD at Imperial College London, her work resulted in the Geophysics Best Paper award for 2013 with an robust FWI application in the time-domain to a North Sea gas field with a significant seismic obscured area to characterise.

Tenice became Operations Lead for S-Cube in 2019 shaping the company's best practices for taking new algorithms from testing into commercial deployment

John Armitage

John Armitage

Algorithm Researcher

John is an algorithm researcher. At S-Cube he is involved in investigating the algorithms and mathematics underlying XWI and in particular solving fundamental problems in parameter extraction from reflection seismic data.

Before joining S-Cube he studied Mathematics at the University of Oxford. During his doctorate, in the field of Number Theory, he worked on problems of effectivity and computation for class numbers, elliptic and modular functions, and transcendence.


Christos Mavropoulos

Cloud and ML Engineer

Christos started at S-Cube in 2022. He has an MSci in Computer Science from the University of Durham. He is driving forward our cloud-native implementation of FWI as well as incorporating Deep Learning to accelerate the transition from acoustic to elastic multi-parameter inversion.

Johnny Reilly

Junior Algorithm Developer

Johnny joined S-Cube in 2022. He graduated from Imperial College with an MSc in Artificial Intelligence. He is investigating and fine tuning the range of optimisation cost functions in the XWI toolbox for superior convergence and deeper updates.

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