Selina currently holds the position of product manager at Promethean Particles (“Promethean”), an independent venture-capital backed spin-out from the University of Nottingham. Promethean is a UK-based, global pioneer, leading the industrial-scale manufacture of metal-organic frameworks (MOFs) – a class of advanced materials. The Company is primarily focused on developing and manufacturing MOFs for the energy transition, particularly for carbon capture and storage (“CCS”), water harvesting, and gas storage applications.

Selina has more than 15 years of experience in the development and commercialisation of advanced material technologies. After being promoted into her current role in 2022, Selina now leads the product management function at Promethean, acting as the critical interface between the external needs of customers and collaboration partners, and the Company’s internal capabilities to deliver them. Prior to this, Selina held the position of Promethean’s technical manager, where she played a key role in successfully winning over £3.5 million in non-dilutive, grant funding for the company to deliver a range of innovative R&D projects.

Selina holds a PhD in Chemical Engineering from the University of Nottingham, where her thesis focused on the continuous-flow hydrothermal synthesis of functional nanomaterials. She is currently an advisory board member of the University of Nottingham Centre for Doctoral Training in Sustainable Chemistry.

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Benoit Celse is an experienced chemical engineering researcher and project leader with over 29 years of professional expertise, currently working at IFP Energies Nouvelles in the Reactor Modelling Department. Holding an engineering degree from ENSIMAG and a PhD in Civil Engineering from École des Mines d'Alès, Benoit specializes in applied artificial intelligence for process engineering, with a strong focus on hydroprocessing, catalyst development, and digital tools for process optimization and recycling.

Throughout his career, Benoit has led numerous projects related to hydroprocessing, including catalyst optimization and modeling for hydrotreatment and hydrocracking processes, as well as the integration of machine learning techniques for data-driven process improvements. He oversees a thematic group on Hydroprocessing, Pyrolysate, and Artificial Intelligence and manages enterprise-level initiatives such as the acquisition and implementation of pilot units. Benoit's projects often combine physical kinetics modeling and advanced AI methods such as regression, classification, and time series analysis.

He has held important roles in IT leadership, managing technical information systems and directing teams with agile and traditional project management methods. Benoit's broad interdisciplinary knowledge spans catalytic processes, process analysis, software development (including SQL, Java, Python, Matlab, and Fortran), signal and image processing, geophysics, and civil engineering.

Beyond his technical expertise, Benoit is actively involved in academic supervision, with multiple completed and ongoing PhD and postdoctoral advisories, and contributes to scientific committees and professional societies like AIChE and SFGP. His publication record includes over 30 peer-reviewed articles, patents, and book chapters, primarily in process modeling, diagnostics, and catalyst development.

Outside of work, Benoit maintains an active lifestyle, enjoying rugby, padel, cycling, running, and gardening. He also dedicates time to community involvement, including sports team management and event organization.

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