Portfolio item number 1
Short description of portfolio item number 1
Posts by Collection
portfolio
Portfolio item number 2
Short description of portfolio item number 2
publications
Unsupervised domain adaptation under hidden confounding
Published in arXiv, 2024
with David Ríos Insua
Uncertainty quantification for intervals
Published in arXiv, 2024
with Michael R Kosorok and Marcos Matabuena
Neural interval‐censored survival regression with feature selection
Published in Stat. Anal. Data Min.: ASA Data Sci. J. 17 (2024), e11704, 2024
with Marcos Matabuena, Louis Abraham and Michael R Kosorok
Causal Survival Embeddings
Published in Statistical Methods in Medical Research. 2025;34(3):574-593., 2025
with Marcos Matabuena
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Data Analysis
BSc course, Universidad Autónoma de Madrid, Spring, 2024
This course introduced key statistical models for biological data analysis, focusing on experimental design and regression models. Students learned to apply fundamental statistical techniques, interpret results, and utilize statistical software. Topics covered included ANOVA for single and multi-factor designs, linear and multiple regression, model diagnostics, and advanced regression extensions. Emphasis was placed on both theoretical understanding and practical application through software-based analysis.
Statistics
BSc course, Universidad Autónoma de Madrid, Fall, 2024
This course covered fundamental statistical methods for experimental data analysis. Topics included descriptive statistics, probability models, random sampling, point estimation via the method of moments and maximum likelihood, confidence intervals, and hypothesis testing, including p-values and goodness-of-fit tests. Emphasis was placed on good practices in statistical inference, and the relationship between confidence intervals and hypothesis testing, equipping students with essential analytical skills for empirical research.