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Daniel Estevez-Moya

Daniel Estevez-Moya

PhD Researcher & Software Engineer

PhD researcher at the Max Planck Institute for the Physics of Complex Systems, specializing in reservoir computing and complex systems dynamics.

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Publications
13
Open-source projects
4
GitHub stars
22
Years of research
9

Research

Selected publications

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Software

Open-source projects

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hilbertplot
Python 1

hilbertplot

The complete set of 40 two-dimensional Hilbert curves, and fast data plots on them.

TSDynamics
Python 3

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
Python 14

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.

Skills

Languages, frameworks and tools

Languages

  • Python
  • Bash
  • Julia
  • Rust

Frameworks

  • PyTorch
  • Keras
  • Pandas
  • Optuna
  • Scikit-Learn
  • JAX

Tools & Infrastructure

  • Git
  • GitHub Actions
  • Docker

Background

Education

  1. 2021 — Present

    PhD in Physics

    Max Planck Institute for The Physics of Complex Systems · Machine Learning for prediction of Chaotic Temporal Dynamics

    Short-term forecasting of chaotic dynamical systems using reservoir computing (Echo State Networks). The thesis introduces quantitative methods for transient analysis, novel evaluation metrics for chaotic prediction, and topology-aware reservoir architectures, with contributions including the dendrocycle topology, the Expected Forecast Horizon metric, and a geometric time-discretization scheme based on the sagitta.

  2. 2018 — 2020

    Masters in Mathematical Sciences

    Universidad de La Habana

    Analysis of synchronization and bifurcation phenomena in two nonlinear dynamical models: a system of coupled nonlinear oscillators and the circle map, with a focus on the structure of Arnold tongues and the transition between mode-locked and quasiperiodic regimes.

  3. 2013 — 2017

    Bachelor in Mathematics

    Universidad de La Habana

    Analysis of the Minority Game using information-theoretic tools. The thesis investigated how individual agent parameters influence the global payoff of the system, applying concepts from information theory to characterize the collective dynamics emerging from simple strategic interactions.

Contact

Get in touch

For research collaborations, questions about my work or job opportunities, send me a message.

Contact me kemossabee@gmail.com