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May 17 – August 8, 2025
Shaping Resolution, 2024, enamel paint on aluminum, 50 x 36 in.
In his first exhibition at the Liliana Bloch Gallery, Laurent Le Bel-Roux presents his most recent paintings. Through abstraction, Le Bel-Roux explores the dynamic relationship between body and mind, creating introspective perceptual spaces. Themes of translation, memory, expression, and time emerge in his works, addressing the human condition and expanding the range of concepts through which we perceive and engage with our environment. Au-delà des apparences invites us to look beyond everyday formalities and attune ourselves to life’s various sensory experiences.
Laurent Le Bel-Roux’s practice is rooted in an intuitive approach to painting and drawing. He uses these mediums as channels to reflect on cognition and sensory receptivity. He draws inspiration from elements that evoke the notion of interference, such as camouflage, sound, grids, meshes, and stencils, suggesting the conscious and unconscious human filter, as well as the ability to reveal and conceal. His creative process involves an experimental engagement with materials and tools, where methodologies intersect and evolve as the work progresses. Paradoxically, he navigates intentionality and improvisation to resolve and create new visual problems by imposing constraints, invoking serendipity, and maintaining an openness to potentialities.
Laurent Le Bel-Roux was born in Montreal, Canada. He holds a BA from the Université du Québec à Montréal (2021), Montreal, and an MFA in Studio Art from the University of Texas at Austin (2025). He has received the University Graduate Continuing Fellowship at UTA and completed a residency at REDA (Résidence en Exploration et Développement Artistique) in Canada.
Melanie Clemmons & Zak Loyd
May 17 – August 8, 2025
A.G.U.I., 2024, Video Loop, Custom Video Frame 3840x2160 px, 00:02:52
"A.G.U.I. offers an alternative to the polished facade often seen in AI-generated content. Structured as a speculative interface, the video is a material study into abstract and imperfect uses of AI."