Summary
Mónica Aylagas is a Lead Research Scientist at SEED (Electronic Arts) with a decade of experience turning generative ML research into production tools that empower artists and game developers. She specializes in deep computer vision and generative models (GANs, VAEs) applied to images, animation, audio and level creation, bridging academic publication and patenting with shipped game credits. Her background spans hands-on model implementation, dataset engineering, technical writing and mentoring, and she regularly presents research both internally and publicly. Trained in machine learning at KTH and with a foundation in computer engineering, she brings rigorous academic methods to pragmatic studio problems. Unusually for an ML researcher in games, she also holds formal violin training, reflecting a long-standing interest in creative practice that informs her focus on human-centered tools.
10 years of coding experience
7 years of employment as a software developer
Degree in Computer Science Engineering Computer Science Engineering, Degree in Computer Science Engineering Computer Science Engineering at Universidad Autónoma de Madrid
Master's Degree Machine learning, Master's Degree Machine learning at KTH Royal Institute of Technology
Grado Medio Violin, Grado Medio Violin at Conservatorio Profesional de Música Arturo Soria
Spanish, English, Swedish