Curriculum vitae

Rodrigo Casado Noguerales

Zürich, Switzerland · rodrigo.casadonoguerales@inf.ethz.ch · rodcasnog.github.io

Google Scholar · GitHub · LinkedIn

Research interests: Generative modeling, discrete diffusion, diffusion LMs, and reasoning.

PhD in Computer Science

2026 –

ETH Zürich (Data Analytics Lab) and MPI for Intelligent Systems (Empirical Inference)

Co-supervised by Thomas Hofmann and Bernhard Schölkopf, as part of the Max Planck ETH Center for Learning Systems.

MSc Mathematics

2021 – 2023

ETH Zürich

With Distinction (GPA 5.98/6).

BSc Mathematics & BSc Physics (dual degree)

2016 – 2021

Complutense University of Madrid

Top GPA of both cohorts (~400 and ~500 students; 9.85/10 and 9.74/10).

  • Dual program with the highest university-access requirements in Spain (25 spots of ~197,000 qualifying students in 2016).

Binary Discrete Diffusion: Candidate-Set Diffusion for Logic and Planning Tasks

2026

Preprint (under review) · arXiv · code

What Does a Discrete Diffusion Model Learn? One Reverse Process in Three Coordinates

2026

Oral @ NeurIPS 2026 Workshop on Diffusion Language Models · arXiv · code · blog

A Better Cycle-Breaker for Direct Democracy?

2026

Games and Economic Behavior · working paper

Scientific & Teaching Assistant

2023 – 2024

ETH Zürich, D-ITET

  • Theory of deep learning: modeling MLPs using fuzzy logic and category theory.
  • TA for the MSc courses: “Neural Network Theory” and “Learning, Classification, and Compression.”

Research Assistant

2022 – 2023

ETH Zürich, D-MTEC

  • Game theory of voting rules; paper in Games and Economic Behavior.

Research Assistant

2020 – 2021

Complutense University of Madrid

  • Algebraic topology. Funded by the “Collaboration with University Departments” grant.

Machine Learning Engineer

2024 – 2026

EthonAI, Zürich (ETH spin-off, industrial AI)

  • Optimized the core causal-AI algorithm for root-cause discovery: ~20% higher discovery rate, ~10× less memory, 5–10× faster.
  • Led the design and delivery of time-series features (3 people, 2 months) on a research-based convolutional extractor, helping win a SaaS contract with a major multinational.
  • Built an autonomous process control (APC) system for live industrial-process optimization, from research and algorithm design to backend.

Visiting Associate

2023

Boston Consulting Group, Zürich

“la Caixa” Foundation Postgraduate Fellowship

2021

Awarded by the King and Queen of Spain; >1,300 applicants; average grant ≈ EUR 75,000.

UCM Extraordinary Prizes in Mathematics and in Physics

2021

Top academic record of each BSc cohort.

IMI Mathematical & Numerical Modeling Competition, 1st place

2020

Royal Spanish Mathematical Society.

Madrid Excellence Grant (×4)

2017 – 2020

Top-100 score nationwide, Spanish University Access Exam

2016

Programming: Python (PyTorch, JAX, scientific stack), Unix/Linux, Git.

ML tooling: Multi-GPU training, SLURM clusters, Weights & Biases.

Languages: Spanish (native), English (C2, Cambridge CPE), German (B1).