Daniel Estevez-Moya
PhD researcher at the Max Planck Institute for the Physics of Complex Systems, specializing in reservoir computing and complex systems dynamics.
What I Do
ML & Scientific Computing
I design and ship machine-learning systems grounded in theory — from ResDAG, a GPU-accelerated reservoir-computing library for PyTorch, to forecasting pipelines for chaotic time series.
Systems & Developer Tooling
Daily-driver Linux engineer: I build CLI tools, Neovim and zsh plugins, and reproducible environments — fast, composable software that respects the people who use it.
Research-Grade Rigor
Peer-reviewed work on chaos, intermittency, and information theory. I bring the same standard of evidence to engineering: measure, model, then build.
Selected Projects
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.
Tech Stack
Languages
Frameworks
Tools & Infrastructure
Research & Publications
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
Let's build something together.
I bring research-grade rigor to hard engineering problems — systems, performance, and ML infrastructure. If you're working on something difficult, I'd love to hear about it.