Julia Múgica & Iván PazMX
Julia Múgica is a mexican scientist currently incurring in the artistic exploration of nature complex processes. With an interdisciplinary background that encompasses biology and computational physics, she is deeply interested in understanding how collectives make decisions that result in a behavioral synchrony. Recently, her curiosity extended to the artistic sphere, where the process of creation magnifies and prioritizes different aspects of the same phenomena. Her work includes animated particles design in processing language, noise design from random walks algorithms for modular synthesizers, and collaborations with the artist Lina Bautista in rhythm and collective patterns with interactive robots.
Iván Paz has backgrounds in physics, music and computer science. Iván’s work is framed in critical approaches to technology centered around from-scratch construction as an exploratory technique. Since 2010, he has been part of the live coding community and has presented workshops, conferences and concerts around America and Europe. He is currently working with machine learning techniques within live coding performance.
Julia Múgica is a mexican scientist currently incurring in the artistic exploration of nature complex processes. With an interdisciplinary background that encompasses biology and computational physics, she is deeply interested in understanding how collectives make decisions that result in a behavioral synchrony. Recently, her curiosity extended to the artistic sphere, where the process of creation magnifies and prioritizes different aspects of the same phenomena. Her work includes animated particles design in processing language, noise design from random walks algorithms for modular synthesizers, and collaborations with the artist Lina Bautista in rhythm and collective patterns with interactive robots.
Iván Paz has backgrounds in physics, music and computer science. Iván’s work is framed in critical approaches to technology centered around from-scratch construction as an exploratory technique. Since 2010, he has been part of the live coding community and has presented workshops, conferences and concerts around America and Europe. He is currently working with machine learning techniques within live coding performance.
