London-based and raised, Maximilian Stanley is an artist and researcher focused primarily on digital aesthetics. After completing a BA in Photography at Camberwell College of Art, he went on to study an MA in Fine Art at CSM where he is presently pursuing his third year of a PhD. 

His research explores a digital aesthetic that resides at the intersection between a creativity and contingency that is not merely facilitated by, but is fundamentally woven into the fabric of digital systems. A non-representational space arising from the complex, recursive interactions between discrete and continuous systems. An emergent property of digital architectures, whereby unexpected outcomes and unforeseen possibilities arise from the intricate interplay of algorithms, data and noise. Arguing binary architectures possess an intrinsic capacity for generative innovation, where the very limitations of their construction becomes fertile new ground. 

His practice explores his research through his interests in aesthetics, computer science, artificial intelligence and philosophy. Engaging these ideas at the boundary between the physical and the digital. Constructing artworks from an iterative process of feedback and distribution between various technologies and mediums. Whether creating an algorithm that translates an image into a welded sculpture, programming an AI model to feed off its own outputs or constructing a feedback loop between a 3D printer and scanner. Through these conversations something is always lost or gained, the process begins to turn in on itself, incorporating its previous self at each iteration until nothing remains of the original object.

Fundamentally his focus lies in trying to develop a deeper understanding of what constitutes a native computational aesthetic under the new paradigm of deep neural networks and the increasing incomprehensibility of their differential relations and hyper dimensional vectors.