DrAdo Farsi
Research Associate
Department of Mathematics - Faculty of Natural Sciences
- Research AssociateDepartment of Mathematics - Faculty of Natural Sciences
- Royal School of Mines, South Kensington Campus, United Kingdom
BIO
Dr Ado Farsi is a computational mechanics scientist at Imperial College London and University College London (UCL), as well as the co-founder of Tanuki Technologies.
He leads the Farsi Computational Mechanics Lab, where his research spans fundamental advances in physics-informed operator learning and differentiable scientific computing, alongside a broad range of engineering applications. These include rock mechanics, fibre-reinforced concrete tunnels, the optimisation of catalyst supports for hydrogen production, and the simulation of Arctic sea ice.
Dr Farsi’s expertise lies in computational mechanics, particularly finite element and discrete element modelling, as well as machine learning. He has delivered invited talks and organised sessions at leading international computational mechanics conferences, including the World, European, and US National Congresses on Computational Mechanics, and at the American Rock Mechanics Association.
More information about his research is available at adofarsi.com.
ACADEMIC POSITIONS
- Research Fellow Co-InvestigatorUniversity College London, London, United Kingdom2025 - present
- Research FellowUniversity College London, London, United Kingdom2023 - 2024
- Visiting ResearcherImperial College London, London, United Kingdom2022 - present
- Research AssociateImperial College London, London, United Kingdom2017 - 2022
NON-ACADEMIC POSITIONS
- Founder, Co-directorTanuki Technologies Ltd, London, United Kingdom2022 - present
- Lead Engineering and Scientific ConsultantImperial Consultants (ICON), London, United Kingdom2021 - 2022
DEGREES
- PhD in Computational MechanicsImperial College London, London, United Kingdom2013 - 2017
- MSc in Civil EngineeringPolitecnico di Milano, Milan, Italy2010 - 2013
- BSc in Building EngineeringPolitecnico di Milano, Milan, Italy2007 - 2010
CERTIFICATIONS
- Microsoft AzureMicrosoft
LANGUAGES
- EnglishCan read, write, speak, understand and peer review
- ItalianCan read, write, speak, understand and peer review
- Spanish; CastilianCan read, understand and peer review
FACULTY
- Faculty of Natural Sciences
POSITION NAME
- Research Associate