Daniel Estevez-Moya
Investigador de doctorado en el Max Planck Institute for the Physics of Complex Systems, especializado en Reservoir Computing y Non-Linear Dynamics.
Qué hago
ML y computación científica
Diseño y publico sistemas de machine learning con base teórica — desde ResDAG, una librería de reservoir computing acelerada por GPU para PyTorch, hasta pipelines de predicción para series temporales caóticas.
Sistemas y herramientas de desarrollo
Ingeniero Linux de diario: construyo herramientas CLI, plugins de Neovim y zsh, y entornos reproducibles — software rápido y componible que respeta a quien lo usa.
Rigor de investigación
Trabajo revisado por pares sobre caos, intermitencia y teoría de la información. Aplico el mismo estándar de evidencia a la ingeniería: medir, modelar y construir.
Proyectos seleccionados
TSDynamics
TSDynamics: A Python package for defining and simulating continuous and discrete dynamical systems, including time-delay equations and maps. With a user-friendly interface for RHS definitions, it provides tools for numerical analysis and aims to integrate advanced time series analysis tools..
ResDAG
A modern, GPU-accelerated Reservoir Computing library for PyTorch. ResDAG brings the power of Echo State Networks (ESNs) and reservoir computing to PyTorch with a clean, modular API. Built for researchers and practitioners who need fast, flexible, and production-ready reservoir computing models.
Stack tecnológico
Lenguajes
Frameworks
Herramientas e Infraestructura
Investigación y publicaciones
Transient times and cycle-rich topology in reservoir computing
Daniel Estevez-Moya, Misha Chai, Erick Alejandro Madrigal Solis, Ernesto Estevez-Rams, Holger Kantz
Emergent Behavior and Computational Capabilities in Nonlinear Systems: Advancing Applications in Time Series Forecasting and Predictive Modeling
Kárel García-Medina, Daniel Estevez-Moya, Ernesto Estevez-Rams, Reinhard B. Neder
Damage spreading and information distance in cellular automata
Karel Garcia-Medina, Daniel Estevez-Moya, Ernesto Estevez-Rams
Computational capabilities at the edge of chaos for one dimensional systems undergoing continuous transitions
E. Estevez-Rams, D. Estevez-Moya, K. Garcia-Medina, R. Lora-Serrano
Phenomenology of coupled nonlinear oscillators
E. Estevez-Rams, D. Estevez-Moya, B. Aragón-Fernández
Complexity-entropy analysis at different levels of organisation in written language
Ernesto Estevez-Rams, Ania Mesa-Rodriguez, Daniel Estevez-Moya
Transient times and cycle-rich topology in reservoir computing
Daniel Estevez-Moya, Misha Chai, Erick Alejandro Madrigal Solis, Ernesto Estevez-Rams, Holger Kantz
Damage spreading and information distance in cellular automata
Karel Garcia-Medina, Daniel Estevez-Moya, Ernesto Estevez-Rams
Phenomenology of coupled nonlinear oscillators
E. Estevez-Rams, D. Estevez-Moya, B. Aragón-Fernández
Emergent Behavior and Computational Capabilities in Nonlinear Systems: Advancing Applications in Time Series Forecasting and Predictive Modeling
Kárel García-Medina, Daniel Estevez-Moya, Ernesto Estevez-Rams, Reinhard B. Neder
Computational capabilities at the edge of chaos for one dimensional systems undergoing continuous transitions
E. Estevez-Rams, D. Estevez-Moya, K. Garcia-Medina, R. Lora-Serrano
Complexity-entropy analysis at different levels of organisation in written language
Ernesto Estevez-Rams, Ania Mesa-Rodriguez, Daniel Estevez-Moya
Construyamos algo juntos.
Aplico rigor de investigación a problemas duros de ingeniería — sistemas, rendimiento e infraestructura de ML. Si trabajas en algo difícil, me encantaría conocerlo.