Elisenda Torras is a fashion innovation researcher, educator, and practitioner working at the intersection of fashion, data, and AI; driven by a single motivating question: how do we make sure the world doesn't end up dressed by an algorithm?
She is currently pursuing a Ph.D. at London College of Fashion and the Fashion Business School, where her research investigates the human side of AI-driven fashion. Her work examines how consumers and stylists negotiate authenticity and agency when interacting with AI styling systems; what visual and linguistic cues those systems prioritise when translating aesthetic attributes into personalised recommendations; and how algorithmic styling can reinforce — or marginalise — alternative beauty expressions across different cultural and body identities. Her contribution is a human-centered framework for fashion recommendation systems that respect aesthetic diversity, inclusivity, and consumer agency in an industry increasingly shaped by data and machine learning.
Alongside her doctoral work, Elisenda is an Associate Lecturer at Central Saint Martins and London College of Fashion (UAL) and a Fellow of Advance HE (FHEA), teaching across MA Innovation Management, MA Fashion Design Management, the LCF MBA, and BA Fashion Buying and Merchandising. She brings more than a decade of frontline industry experience into the classroom and is a regular speaker and panel moderator at international industry forums, including the Global Fashion Summit in Copenhagen.
Her industry work is focused on the practical integration of fashion expertise and AI as an independent fashion innovation consultant and stylist, advising brands and platforms on the human side of AI-driven retail. Most recently, as Head of Stylist and AI Training at Dressipi and Mapp Fashion, she spent over a decade embedding human styling knowledge into AI personalisation for retailers including John Lewis, River Island, OVS, Country Road Group, and L.K.Bennett — work focused on smarter consumer journeys, recommender system development, and the human–AI collaboration that underpins data-driven fashion retail at scale. She also brings entrepreneurial experience as the founder of WeModex, a Barcelona-based community championing emerging fashion talent, and earlier in her career built cross-continental partnerships between Asian and European markets at the Hong Kong Trade Development Council.