CV
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