I am a PhD student at Euskal Herriko Unibertsitatea (EHU).

My main research interests are animation, motion capture, deep learning and animation generation.

Education

2026-mar-june: PhD stay

KTH Royal Insitute of Technology

TMH research group.

2023-now: PhD in Idle Animation Generation

Euskal Herriko Unibertsitatea

RSAIT research group.

2021-2022: Master's Degree in Computational Engineering and Intelligent Systems

Euskal Herriko Unibertsitatea

2016-2021: Double Degree in Computer Science and Business Administration

University of Deusto

Publications

Research Papers

2025: StayStill: a large-scale 3D idle animation dataset

Symposium on Computer Animation 2026

Project Page, Paper, Repository

2025: Evaluating Idle Animation Believability: a User Perspective

(Computer Animation and Virtual Worlds)

Project Page, Paper, Repository

2024: (Second Author) Pepper says:“I spy with my little eye”

(2024 IEEE-RAS 23rd International Conference on Humanoid Robots)

Paper

2021: Fight detection in images using postural analysis

(International Conference on Hybrid Artificial Intelligence Systems, 231-242)

Paper

Posters

2025: StayStill: A large-scale 3D Idle Animation Dataset

GENEA Workshop 2025, ACM Multimedia 2025

Teaching

2023-2024: Search Heuristics

(Practical teaching assistant PhD student)

Main Professor: Iñigo Lopez Gazpio

Euskal Herriko Unibertsitatea

2023-2024: Computer Graphics

(Practical teaching assistant PhD student)

Main Professor: Joseba Makazaga

Euskal Herriko Unibertsitatea

2021-2022: Algebra, Discrete Mathematics

(Lecturer with limited responsibilities)

University of Deusto

Event Organisation

Part of the organising committee at GENEA Workshop 2026

Co-organised together with Alice Delbosc, Gustav Eje henter, Haoyang Du, Jieyeon Woo, Oya Celiktutan and Taras Kucherenko

Speaking

2025: Nola mugitzen gara geldi gaudenean? at ZarautzOn

Video link

Tools

PyPI Downloads

bvhTools is a python library to work with BVH (BioVision Hierarchy) animation files.

It is built as a general purpose library, with machine learning pipeline integration.

    - Read/write BVH files.

    - Access the BVH data inside Python.

    - Machine learning integration.

    - Angle format conversion.

    - Perform forward kinematics.

    - Resample animation at different FPS.

    - Slice and merge BVH files.

    - Typical animation operations like moving, rotating or centering the skeleton.

    - Removing bones and resizing the skeleton.

    - Converting angle representations.

    - Calculating metrics: speeds, accelerations, jerks, foot contacts...

    - Animation visualization.

    - Writing CSV data.

    - CLI functionalities.

Repository and documentation page.