CV
PhD candidate and Assistant Professor at UPM, specializing in causal inference and deep learning for healthcare. Research focused on developing causal deep models for decision-making, survival analysis, and clinical data. First co-author of a NeurIPS 2025 Spotlight paper in collaboration with Saarland University. Author/co-author of nine publications and participation in four major EU AI-health projects (GenoMed4All, REPO4EU, Synthema, Synthia). Expertise in probabilistic modeling, statistical inference, and biostatistics. Visiting researcher at Saarland University; training at Harvard and Cambridge summer schools. Teaching signal processing, probability, and machine learning at UPM (98 lecture hours). Advisor of several Master’s and Bachelor’s theses. Combines research, teaching, and European collaboration in applied ML for medicine. Expected PhD completion: September 2026.
Education
- B.S. Telecommunication Engineering, Universidad Politécnica de Madrid, 2020
- M.S. in Telecommunication Engineering, Universidad Politécnica de Madrid, 2022
- Ph.D in Telecommunication Technologies and Systems, Universidad Politécnica de Madrid, 2026 (expected)
- Thesis keywords: Causal inference, machine learning, bayesian statistics, generative models, survival analysis, knowledge graphs
- Advisor: Juan Parras
WORK EXPERIENCE
05/2019 - 06/2020: Internship in INDRA-UPM chair
- Madrid, Spain
- Tasks:
- Study of drone market and implementation of a drone detection system using software-defined radio (SDR)
- Development of signal processing software for Clutter and Interference Suppression in Radar Systems
- Skills:
- MATLAB
- Software-Defined Radio
- Radar Systems
- Supervisor: Dr. José Tomás González Partida
09/2021 - 02/2022 - Researcher in GAPS (Signal Processing Applications Group)
- Universidad Politécnica de Madrid, Spain
- Tasks:
- Study Causal Inference applied to machine learning
- Development of a machine learning model for the prediction of the evolution of COVID-19 in Spain
- Skills
- Python
- Machine Learning
- Causal Inference
- Supervisors: Dr. Juan Parras and Dr. Santiago Zazo.
- Projects:
Genomed4all European Comission (2020-2024) MadridDataSpace4pandemics Community of Madrid (01/2022-12/2022)
03/2023 - present: PhD student grant (Programa Propio UPM)
- Universidad Politécnica de Madrid, Spain
- Tasks:
- Study of causal inference in healthcare:
- Federated causal learning
- Causal sufficiency assumption
- Generative models for causal inference
- Longitudinal data analysis
- Study of causal inference in healthcare:
- Supervisors: Dr. Juan Parras and Dr. Santiago Zazo.
- Projects:
Genomed4all European Comission (2020-2024) RePo4EU European Comission (2023-2027) Synthema European Comission (2023-2027) Synthia European Comission (2024-2029)
04/2024 - present: Assistant professor
- Universidad Politécnica de Madrid, Spain
- Tasks:
- Teaching assistant in the following courses:
- Probability and Random Signals (B.S in Data Engineering, 2nd course)
- Discrete Time Signals and Systems (B.S in Telecommunication Engineering, 3rd course)
- Advanced Signal and Data Analysis (B.S in Data Engineering, 3th course)
- Reinforcement Learning (M.S in Signal and Communication Theory)
- Teaching assistant in the following courses:
05/2024 - 09/2024: Visiting Researcher in Saarland University
- Saarbrücken, Germany
- Probabilistic Machine Learning Lab, lead by Prof. Isabel Valera.
- Tasks:
- Study Structural Causal Models and Causal Inference with unobserved confounders