Meet our team
Our story
TOffee is a code developed at Imperial College London.
The work started in 2015 under the idea and mentorship of Francesco. Marco and Audrey worked on the implementation during their PhD in Aeronautical Engineering.
As traction and interest for TOffee increased over the following years, they decided to license it and thus TOffeeAM ltd was incorporated in 2019. During this time, TOffee received numerous prizes at HELLO TOMORROW, Venture Catalyst Challenge and Programmable.
Fun fact
TOffeeAM is the acronym for Topology Optimisation For Fluids enginEEring and Additive Manufacturing.
Francesco is a Professor at Imperial College and a RAEng Enterprise Fellow. He holds a PhD in Energy Engineering and studied Management of Technology at Cambridge University. He is a former employee of GE and boasts collaborations with Rolls-Royce, NASA, Airbus and Criepi, becoming a leading expert in Uncertainty Quantification.
Marco is a former EPSRC Doctoral Prize Fellow at Imperial College where he completed his PhD in Fluid Dynamics. He holds an MSc in Mathematics and has expertise in AI software for Additive Manufacturing. He boasts a collaboration with NASA Langley and he is an MBA student at the Quantic Institute of Washington DC
Audrey is a former EPSRC Doctoral Prize Fellow at Imperial College. She holds an MEng and PhD from Imperial College Aeronautics where she strengthened her expertise in robust analysis. She is a former visitor student at NASA and she boasts an Amelia Earhart Fellowship, named as one of the best 32 female PhD in the world working in Aerospace.
Ashley successfully co-founded and grew Software as a Service market leader NewVoiceMedia across two decades in the telecommunications sector. He shaped the company’s $350m sale in late 2018 and is now supporting the next generation of technology startups as an adviser.
Sakis has 30+ years of experience in CAD/CAM software sales for multiple companies.
Graduated from Imperial College London is now leading the sales activities.
Thomas is an aerospace engineer specialized in aerodynamics, heat transfer, and optimization. He holds an M.Eng in Aeronautical Engineering, an M.Res in Fluid Dynamics, and is nearing completion of his PhD in aerodynamics, all from Imperial College London. He has previously worked at or collaborated with Rolls-Royce, the Von Karman Institute for Fluid Dynamics, Fluid Gravity Engineering, and the European Space Agency.
Stefano obtained a Master of Science in Aerospace Engineering from “Politecnico di Torino”, and a Bachelor in Aerospace Engineering from “Universita’ di Napoli Federico II”. Before joining TOffeeAM, Stefano carried out an industrial placement at GE Avio in Turin.
Nicholas Raske is a graduate of the University of Leeds where he studied Aerospace Engineering and later completed his PhD. A research engineer with a decade of experience solving mathematical problems in the aerospace and bioengineering sectors. Extensive use of large commercial and open source software to build non-linear models to predict the behaviour of materials and devices. Experience augmenting these software packages with custom code to address novel problems.
Faidon holds a Master of Engineering degree in Mechanical Engineering and has completed a Master of Science degree in Artificial Intelligence, both at Imperial College London. Faidon has previously worked in the Future Programmes Engineering department at Rolls-Royce designing jet engines for the next generation of aircraft, specialising in thermodynamic modelling.
Antonio holds a Master of Science in Aerospace Engineering with a focus on structures.
He has experience in Finite Element Modelling and Analysis of both metallic and composite materials, Structural Optimization and Additive Manufacturing.
After a first experience working as a Consultant CAE Engineer, he joined the ToffeeAM team.
Ruben holds an MSc in Mathematics and a PhD in Applied Mathematics and Mathematical Physics from Imperial College London, modelling, simulation and control of multiphase and multi-physics flow problems.
Following his PhD studies, he undertook a London Mathematical Society Early Career Fellowship on data-driven methods for the control of chaotic systems.
James is currently carrying out a Ph.D. at Imperial College London in Data-Driven models.
He is collaborating with the R&D division of TOffeeAM.