Adrián Arnaiz-Rodríguez

Artificial Intelligence PhD Student

ELLIS Alicante

I am a Spanish boy born in 97. I am a Computer Scientist, with a Master’s in Data Science, focused on my PhD in ML at ELLIS in Alicante Unit and I will visit MPI-SWS as part of the ELLIS PhD & PostDoc program. I am very lucky to be advised by Dr. Nuria Oliver, Dr. Manuel Gómez Rodríguez and Dr. Francisco Escolano.

I’m currently focused on the sociotechnical problem of Algorithmic Fairness for Decision Making, boosted by Graph Theory and Causality (beyond i.i.d. and beyond observational respectively). I’m delving into the ethical implications of such decisions made by ML models, including concepts such as privacy, transparency, accountability, reliability, autonomy and fairness. Therefore, the main projects are developing algorithms that improves understanding of ML models with a focus un the data and it’s representations (how the data should be to make ML models fair?), the fairness problem in networks (the natural data type), the long-term effects of this models, the feedback loops of user-model and, last but no least, the actual application in the society (regulation and politics).

In the past, I’ve mainly worked in ML and DL applied to life science, as in my Bachelor’s and Master’s Thesis - both with outstanding results (honours) -. Besides, I also researched in network science and graph theory, leading to some conference papers about the understanding of the acadamic network.

Life

Guitar 🎸 and clarinet lover
Cycling 🚲, soccer ⚽ and 🤿
Born in Burgos

Here is my career at a glance, click on it for a detailed view:

Interests

AI & ML for Decision Making
Algorithmic Fairness
Graph Neural Networks and Network Science
Causality
Deep and Reinforcement Learning

Education

ELLIS PhD student in ML, 1st year
ELLIS Alicante and MPI-SWS (exchange)
MSc in Data Science and Artificial Intelligence, 2021
Open University of Catalonia (Universitat Oberta de Catalunya)
BSc in Computer Science, 2019
Burgos University

Publications

Filter publications.

Adrián Arnaiz-Rodríguez, Ahmed Begga, Francisco Escolano, Nuria Oliver (2022). DiffWire: Inductive Graph Rewiring via the Lovász Bound. In Learning On Graphs 2022.

PDF Cite Code Poster Source Document DOI

Alicia Olivares Gil, Adrián Arnaiz-Rodríguez, Jose M. Ramírez‐Sanz, Jose L. Garrido‐Labrador, Virginia Ahedo, César I. García‐Osorio, Jose I. Santos, Jose M. Galán (2022). Mapping the scientific structure of Organization and management of enterprises using complex networks. In IJPME.

PDF Cite Source Document DOI

Esther Cubo, Adrián Arnaiz-Rodríguez, Álvar Arnaiz-González, José-Francisco Díez-Pastor, Meredith Spindler, Adriana Cardozo, Álvaro García-Bustillo, Zoltan Mari, Bastiaan R. Bloem (2021). Videoconferencing Software Options for Telemedicine: A Review for Movement Disorder Neurologists. Appl. Sci..

PDF Cite Code Source Document DOI doi

Adrián Arnaiz-Rodríguez, Jose M. Ramírez‐Sanz, Jose L. Garrido‐Labrador, Alicia Olivares Gil (2021). Computer Science doctoral research in Spain. A relational perspective. In Actas CAEPIA XIX.

PDF Cite Source Document

María Consuelo Saíz Manzanares, Ismael Ramos Pérez, Adrián Arnaiz-Rodríguez, Sandra rodríguez Arribas, Leandro Almeida, Caroline Françoise Martin (2021). Analysis of the Learning Process through Eye Tracking Technology and Feature Selection Techniques. Appl. Sci..

PDF Cite Source Document DOI doi

Jose L. Garrido‐Labrador, Jose M. Ramírez‐Sanz, Adrián Arnaiz-Rodríguez, Virginia Ahedo, César I. García‐Osorio, Jose I. Santos, Jose M. Galán (2020). Network analysis of co-participation in thesis examination committees in an academic field in Spain. In 14th CIO.

Cite 14th CIO Homepage Book of Abstracts

Jose L. Garrido‐Labrador, Jose M. Ramírez‐Sanz, Adrián Arnaiz-Rodríguez, Virginia Ahedo, César I. García‐Osorio, Jose I. Santos, Jose M. Galán (2020). Unveiling the informal structure of an academic field in Spain. A network analysis.. In VI COMSOTEC WORKSHOP.

Cite Source Document Comsotec Homepage

Experience

PhD Student

ELLIS (European Lab for Learning & Intelligent Systems) & Max Planck Institute SWS exchange

Nov 2021 – Present Alicante

ELLIS PhD student in Machine Leaning at ELLIS Unit Alicante and excahnge in MPI-SWS with Dr. Nuria Oliver, Dr. Manuel Gomez Rodriguez and Dr. Francisco Escolano as advisors.

Research Staff

University of Burgos - DATAHES GIR - SmartArt European Project

Dec 2020 – Aug 2021 Burgos

DATAHES: Data Analysis Techniques Applied in Health Environments Sciences.
Data Analysis in web behaviour
Create digital content

Research staff

University of Burgos - ADMIRABLE GIR

Jan 2020 – Sep 2020 Burgos

ADMIRABLE: Advanced Data MIning Research And [Business intelligence | Bioinformatics | Big Data] LEarning.
Support VR research in data mining
Support in MLaas platfomr: UBUMLaas
Research in Network Analysis: 2 conference works
Research in Parkinson’s Disease detenction through voice

Junior Inteligent Automation Consultant

Ernst & Young

Sep 2019 – Dec 2019 Madrid

Develop of Machine Learning models and data processing pipelines to embed in RPA processes, included email classification in Telefonica.

Research fellow

University of Burgos - ADMIRABLE GIR

Dec 2018 – Jul 2019 Burgos

Research assistant scholarship in the Civil Engineering department of the University of Burgos, research group ADMIRABLE. Working with collaboration grant. Research in the project “Use of biomarkers extracted from the voice for the detection of Parkinson”, which was my Bachelor’s Thesis, evaluated with honors.

Recent & Upcoming Talks

Click here for a complete list of talks

[ELLIS-DMMLab (CMU) Workshop] Technical challenges of Algorithmic Fairness

30 min technical talk aimed to researchers from Carnegie Mellon University from DDMLab. I presented the technical challenged from algorithmic challenges in data-centric interpretable approahces, Graph Fairness and long-term effects and feedback loops.

Mar 7, 2023 9:00 AM — Mar 9, 2023 8:00 PM Alicante, Spain

[ELLIS-DMMLab (CMU) Workshop] Technical challenges of Algorithmic Fairness

[European Parliament - JURI Committee on Legal Affairs] Societal Challenges of Algorithmic Fairness

The European Parliament sent to ELLIS Alicante their JURI Committee on Legal Affairs, which are responsables of the AI regulation in Europe (AI Act). I presented the current Challenges of Algorithmic discrimiation in AI, getting close technical, social and legal concepts in the same presentation. We then discussed the current gaps between technicians and regulators to overcome the current limitations of AI regulation.

Feb 22, 2023 10:00 AM — 2:00 PM Alicante

[European Parliament - JURI Committee on Legal Affairs] Societal Challenges of Algorithmic Fairness

Algorithmic Fairness in Artificial Intelligence (Spanish)

A high level introduction about ethics in Artificial Intelligence, why does discrimination occurs and how to solve it using AI [Scientific Dissemination talk].

Dec 22, 2022 6:00 PM — 8:00 PM The Science and Technology Station

Algorithmic Fairness in Artificial Intelligence (Spanish)

[Tutorial Learning On Graphs Conference] Graph Rewiring: From Theory to Applications in Fairness

A tutorial on Graph Rewiring using learnable spectral node embeddings and distances. We first explain the introductions to spectral theory, then we go trought the proposed methods for transductive rewiring, then we delve into how to performe inductive rewiring in graphs using DiffWire and we finally explain the implications of rewiring in Algorithmic Fairness [Accepted Academic Tutorial].

Dec 11, 2022 4:00 PM — 7:00 PM Online

[Tutorial Learning On Graphs Conference] Graph Rewiring: From Theory to Applications in Fairness

Diversity and Discrimination in AI and New Technologies (Spanish)

A high level introduction about algortihmic discriminations and lack of diversity and the AI challenges to solve this problem [Scientific Dissemination talk].

Oct 25, 2022 12:00 PM — 1:00 PM Fundación Once

Diversity and Discrimination in AI and New Technologies (Spanish)

See all events

Awards

Outstanding Reviewer AISTATS 2023

2023 - Artificial Intelligence and Statistics 2023

💡 Selected as Outstanding Reviewer of AISTATS 2023 (Top 10 %)

Outstanding Reviewer ICML 2022

2022 - International Conference on Machine Learning 2022

💡 Selected as Outstanding Reviewer of ICML 2022 (Top 10 %)

FPU PhD Fellowship (Declined)

2021 - Spanish Goverment - Universities Ministry

📚 Doctoral Fellowship given by Spanish Goverment. FPU20/03687. Grants for pre-doctoral contracts for the completion of doctoral theses, in Spanish Universities.

Extraordinary Award of Degree in Computer Engineering

2019 - Council of the University of Burgos

📚 Award for the best student qualification record of the Computer Engineering Degree from the University of Burgos, academic year 18/19.

Prototype Award

2019 - OTRI (Information Transfer Office of Burgos University)

💡 Project awarded: BSc Thesis:Use of bio-markers extracted from the voice for the detection of Parkinson. Financial aid and one year of advice for the project.

Undergraduate Research Fellowship

2019 - University of Burgos

📚 Assistant research Fellowship in the Civil Engineering department of the University of Burgos, research group ADMIRABLE. Research in the project ‘Use of biomarkers extracted from the voicefor the detection of Parkinson’, which is my final degree project (BSc Thesis), evaluated with honors.

3rd place in Spin-Up CyL Contest

2017 - Spin Up - Junior Achievement

💡 3 months of advice and access to conferences in Google for Startups Campus

8 out of 10 MSc Subjects graded with honours, included Thesis

GPA: 9.7 / 10

10 out of 39 BSc Subjects graded with honours, included Thesis

GPA: 8.9 / 10

Reviews

Program Committee member

FAccT 2023 - ACM Conference on Fairness, Accountability, and Transparency.
NeurIPS 2022 HCAI Workshop - NeurIPS 2022 workshop on Human Centered [Link]
ECML-PKDD 2022 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases - x4 papers

Conferences

AISTATS 2023 - Artificial Intelligence and Statistics - x4 papers - Top 10%
ICML 2022 - International Conference on Machine Learning - Top 10%
WWW'22 - The Web Conference 2022 , ACM, New York.

Workshops

NeurIPS 2022 AFCP Workshop - NeurIPS 2022 workshop on Algorithmic Fairness through the Lens of Causality and Privacy x3 papers [Link]

Journals

IEEE TNNLS 2023 - IEEE Transactions on Neural Networks and Learning Systems - Special Issue Graph Learning.
PeerJ 2023 - PeerJ Computer Science.
PMLR 2022 - Proceedings of Machine Learning Research
Journal of Complexity 2022
IEEE TCSS - IEEE Transactions on Computational Social Systems 2022.

Voluntary work and Scientific Dissemination

Scientific organization

Head of organization of ELLIS Doctoral Symposium 2022 - Alicante, Sep 2022
Head of organization of ELLIS HCML Reading Group: guest sessions and round tables - Virtual, bi-weekly sessions
Moderator of Qualcomm+ELLIS Reading Group Session about GNN+HCML - Online, Feb 2022
Round table: Pim de Haan, Carlos Castillo, Efstatios Gavves and Manuel Gómez Rodríguez
Volunteer at NeurIPS Workshop “Human-Centered AI” - Virtual, Dec 2021

Open Source software

Open source code from BSc and MSc final projects and all published papers
Occasional collaborator in Lightly AI PyTorch-based library for Self-Supervised Learing. Main contributor of Lightly version 1.1.2
More open source codes in GitHub: applications, experiments and data analysis