CV

6 Publications
1 Q1 Journals
2 R&D Projects
2 H-index
2 Awards
Summary

Alba Garrido López is a teaching assistant and Ph.D. candidate in the Communications Technologies and Systems programme at Universidad Politécnica de Madrid (UPM). She conducts her doctoral research within the Signal Processing Applications Group (GAPS), under the supervision of Dr. Juan Parras Moral.

She holds a B.Sc. in Biomedical Engineering and an M.Sc. in Signal Theory and Communications, with a specialization in Machine Learning for Big Data, both from UPM. Prior to beginning her doctoral studies, she worked at Hospital Universitario La Paz on the automatic segmentation of transcranial ultrasound images using deep learning.

Her current research focuses on artificial intelligence for personalized medicine, particularly deep generative models, survival analysis, causal inference, and synthetic data generation for multimodal biomedical data.

Deep Generative Models Survival Analysis Synthetic Data Generation Causal Inference
Education
2025 – Present

Ph.D. in Communications Technologies and Systems

Universidad Politécnica de Madrid , Spain

Doctoral Programme in Communications Technologies and Systems

Supervisor: Dr. Juan Parras Moral · Signal Processing Applications Group (GAPS)

Research focus: artificial intelligence for personalized medicine, deep generative models, survival analysis, causal inference, and synthetic biomedical data.

2023 – 2025

M.Sc. in Signal Theory and Communications

Universidad Politécnica de Madrid , Spain

Specialization: Machine Learning for Big Data

GPA: 9.11 · Special Master's Degree Mention for Academic Excellence

Master's Thesis: Design and Implementation of Variational Autoencoders for Multimodal Survival Analysis in Medical Data · Proposed for the Master's Thesis Honours Distinction

2019 – 2023

B.Sc. in Biomedical Engineering

Universidad Politécnica de Madrid , Spain

Specialization: Bioengineering Devices and Materials, and Biomedical Informatics

Bachelor's Thesis: Design and Implementation of an Automatic Segmentation Algorithm for Transcranial Ultrasound Images Applied to the Study of Movement Disorders

Work Experience
Oct. 2025 – Present

Doctoral Researcher and Teaching Assistant (R1 Researcher)

Universidad Politécnica de Madrid , Spain

Signal Processing Applications Group (GAPS), Escuela Técnica Superior de Ingeniería de Telecomunicación

Research on artificial intelligence for personalized medicine as part of a doctoral thesis.

Feb. – Sep. 2025

Researcher (R1 Researcher)

Universidad Politécnica de Madrid , Spain

Signal Processing Applications Group (GAPS), Escuela Técnica Superior de Ingeniería de Telecomunicación

Application of artificial intelligence techniques to personalized medicine.

Oct. 2024 – Feb. 2025

Research Fellow

Universidad Politécnica de Madrid , Spain

Signal Processing Applications Group (GAPS), Escuela Técnica Superior de Ingeniería de Telecomunicación

Analysis of multimodal medical data using deep learning methods.

Sep. – Dec. 2022

Research Intern

Hospital Universitario La Paz , Spain

Development of deep-learning methods for the automatic segmentation of transcranial ultrasound images.

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Publications
1 Journal Papers
1 Q1 Journals
6 Citations
2 H-index
Browse full publication list →
Research Projects
2 Total Projects
2 EU Projects
0 As PI
2 Active
Browse full project list →
Teaching
8 Courses
0 PhD Theses
0 Master's Theses
0 Bachelor's Theses
Browse full teaching record →
Awards & Distinctions
2026

Primer Premio Luis Felipe Torrente de Divulgación sobre Medicina y Salud

Fundación Lilly & The Conversation

Divulgation article.

Winner
2025

Proposed for the Master's Thesis Honours Distinction

Universidad Politécnica de Madrid

Proposed for the Master's Thesis Honours Distinction for the Master's Thesis entitled 'Design and Implementation of Variational Autoencoders for Multimodal Survival Analysis in Medical Data.'

Proposed