Mario Pascual González

Curriculum vitae

Mario Pascual González · Madrid, Spain

Education

2026–2027
MSc in Artificial Intelligence
Escuela Politécnica Superior, Universidad Autónoma de Madrid

Full-time, 60 ECTS; expected completion July 2027.

  • Master’s thesis (working title): Scalable linearised Laplace uncertainty quantification for pretrained flow-matching generative neural networks. Supervisor: Dr. Daniel Hernández-Lobato (Machine Learning Group, GAA).
2022–2026
BSc in Biomedical Engineering (Ingeniería de la Salud), bioinformatics track
ETSI Informática, University of Málaga

GPA 9.05/10 over 240 ECTS. Matrícula de Honor in 21 courses (120 ECTS); this distinction is capped at 5% of the students enrolled in each course.

  • Bachelor’s thesis: Meningioma growth prediction in multimodal magnetic resonance imaging using deep learning techniques. Graded 10/10 with Matrícula de Honor (10 Jul 2026). Supervisor: Dr. Ezequiel López-Rubio. Third prize, AEPIA Best Bachelor’s Thesis Award.
degree

Research experience

2023–present
Research trainee
Computational Intelligence and Image Analysis Group (ICAI), Dept. of Computer Languages and Computer Science, University of Málaga

Deep learning for brain MRI and invasive coronary angiography; instruction-sequence representations of graphs for symbolic regression.

Jun 2024 – Aug 2025
Researcher (part-time contract)
Biomedical Research Institute of Málaga (IBIMA), BIONAND Platform

Supervisors: Dr. Esteban J. Palomo and Dr. Ezequiel López-Rubio.

  • Detection, segmentation and characterisation of non-obstructive coronary artery disease in invasive coronary angiography with deep learning.
  • Dataset standardisation, benchmarking of preprocessing pipelines and hyperparameter optimisation [J1]; integration of the models into a working application.

Publications

Journal articles: 1; Manuscripts under review: 2; Preprints: 3; Conference proceedings: 2; Communications at clinical congresses: 3. Full list on the publications page.

Grants

2026–2027
Collaboration Grant (Beca de Colaboración), Spanish Ministry of Education
Machine Learning Group (GAA), Dept. of Computer Engineering, Universidad Autónoma de Madrid

National competitive call for research initiation of final-year BSc and MSc students (2,111 grants nationwide). Highest average grade among the department’s four awardees. Funds the Master’s thesis research with Dr. D. Hernández-Lobato. Provisional award, 7 Oct 2026.

award list
Jan – Jul 2026
Research Initiation Grant, modality A.1
ICAI group, University of Málaga

Competitive call limited to ten engineering students across the university; third-highest score in the call.

call

Awards

Oct 2026
Best Oral Communication Award, Diagnostic Neuroradiology
Spanish Society of Neuroradiology (SENR), 54th Annual Meeting, Málaga

For [C3], first author and presenter.

Oct 2026
Third Prize, AEPIA Best Bachelor's Thesis Award
Spanish Association for Artificial Intelligence (AEPIA), CAEPIA 2026

National award, general category.

award list press release
May 2026
Accésit (runner-up prize) for oral communication and Cum Laude distinction for electronic communication
Spanish Society of Medical Radiology (SERAM), 38th National Congress, Valencia

Both for [C4], first author.

accésit cum laude

Talks

Nov 2026
Invited lecture: Artificial intelligence and biomedical imaging
Biomedical Imaging course, BSc in Biomedical Engineering, University of Málaga

Invited by Dr. Francisco Sendra-Portero (scheduled).

Oct 2026
Oral communication of [C3]
54th SENR Annual Meeting, Málaga
May 2026
Oral communication of [C4]
38th SERAM National Congress, Valencia

Media coverage

Oct 2026
University of Málaga press release on the AEPIA award
uma.es
Oct 2026
AEPIA award and meningioma growth research, Málaga Hoy
malagahoy.es
Oct 2026
AEPIA award, Nova Ciencia
novaciencia.es
Sep 2025
AI-assisted cardiac diagnosis research, La Vanguardia
lavanguardia.com

Service and outreach

2023–2024
Student ambassador (Estudiante Cicerón)
University of Málaga

Campus tours and guidance for prospective students at the School of Computer Science (ETSI Informática).

Skills and languages

Machine learning
PyTorch, scikit-learn, MONAI, NumPy, SciPy
Programming
Python, Bash, LaTeX
Computing
Over two years on the Picasso supercomputer, University of Málaga (SLURM, Conda, Git, multi-GPU training)
Languages
Spanish (native); English (C2; Cambridge C1 Advanced, grade A, 2026)