Curriculum Vitae

 Download PDF

Professional Experience

KU Leuven

10/2022 – Present

PhD Researcher in clinical prediction models, Leuven

Memorial Sloan Kettering Cancer Center

02/2025 – 06/2025

Visiting PhD Researcher, New York

Julius Center – UMC Utrecht

10/2024 – 02/2025

Visiting PhD Researcher, Utrecht

Basque Center for Applied Mathematics (BCAM)

12/2021 – 09/2022

Research Technician in Machine Learning, Bilbao

Spanish National Statistical Office (INE Spain)

10/2020 – 09/2021

Postgraduate Internship, Madrid

Education

KU Leuven — PhD in Biomedical Sciences

2022 – 2026 (expected)

Complutense University of Madrid (UCM) — European Master in Official Statistics (EMOS)

2019 – 2021

University of Granada — B.A. Marketing

2015 – 2019

Publications

1.
Barreñada, L., Campo, B. D. C., Wynants, L. & Calster, B. V. Clustered flexible calibration plots for binary outcomes using random effects modeling. Res Synth Methods In press, 1–22 (2025).
2.
Van Calster, B. et al. Evaluation of performance measures in predictive artificial intelligence models to support medical decisions: Overview and guidance. The Lancet Digital Health In press, (2025).
3.
Moro, F. et al. External validation of ultrasound-based models for differentiating between benign and malignant adnexal masses: A nationwide prospective multicenter study (IOTA phase 6). American Journal of Obstetrics and Gynecology 233, 629.e1–629.e13 (2025).
4.
Barreñada, L. et al. Head-to-head comparison of the RMI and ADNEX models to estimate the risk of ovarian malignancy: A systematic review and meta-analysis of external validation studies. BMJ Open 15, e104141 (2025).
5.
Ramirez Zegarra, R. et al. Standardization of the sonographic measurement of the head to perineum distance: A pilot study comparing techniques with and without perineal compression. European Journal of Obstetrics & Gynecology and Reproductive Biology 312, 114520 (2025).
6.
Barreñada, L. et al. The fundamental problem of risk prediction for individuals: Health AI, uncertainty, and personalized medicine. vol. Preprint (2025).
7.
Geysels, A. et al. Artificial intelligence applied to ultrasound diagnosis of pelvic gynecological tumors: A systematic review and meta-analysis. Gynecologic and Obstetric Investigation 91, 115–136 (2025).
8.
Martínez-García, M., García-Gutierrez, S., Barreñada, L., Inza, I. & Lozano, J. A. Extending the learning using privileged information paradigm to logistic regression. Neurocomputing 615, 128869 (2025).
9.
Barreñada, L., Dhiman, P., Timmerman, D., Boulesteix, A.-L. & Van Calster, B. Understanding overfitting in random forest for probability estimation: A visualization and simulation study. Diagnostic and Prognostic Research 8, 14 (2024).
10.
Barreñada, L. et al. ADNEX risk prediction model for diagnosis of ovarian cancer: Systematic review and meta-analysis of external validation studies. bmjmed 3, e000817 (2024).
11.
Barreñada, L., Gálvez Sainz de Cueto, J. C. & Fernández Calatrava, J. Timeliness reduction on industrial turnover index based on machine learning algorithms. Statistical Journal of the IAOS 38, 1195–1205 (2022).

Peer Review

Conducted various peer reviews for Statistics in Medicine, Ultrasound in Obstetrics and Gynecology, International Journal of Gynecological Cancer, Heliyon, npj Precision Oncology, Nature Communications Medicine, and Diagnostic and Prognostic Research.

Conference Presentations

Problem of Individual Risk Estimation for Health AI (Talk)

01/2026

SEB · Bilbao

Updating the ADNEX model for surgically and conservatively managed patients (Talk)

09/2025

ISUOG · Cancún

Combining calibration plots (Talk)

04/2025

MEMTAB · Birmingham

Problem of Individual Risk Estimation for Health AI (Talk)

03/2025

ENAR · New Orleans

Head-to-head comparisons of RMI and ADNEX models (Talk)

09/2024

ISUOG · Budapest

Multicenter flexible calibration curves using random effects (Poster)

07/2024

ISCB · Thessaloniki

Drawing multicenter calibration curves (Talk)

02/2024

SEB · Barcelona

ADNEX model systematic review and meta-analysis (Talk)

10/2023

ISUOG · Seoul

Do we understand random forests? (Poster)

08/2023

ISCB · Milan

Do we understand random forests? (Poster)

07/2023

YSM · Leicester

Awards & Prizes

Young Investigator Award in Gynaecology

2023

Issued by ISUOG

Young Statisticians Prize (YSP) — 2nd place

2022

Issued by IAOS

Skills

Clinical Prediction Models Meta-analysis Machine Learning Statistical Analysis Data Science Biomedical Research R Python

Professional Memberships

  • STRATOS early career adjunct member
  • International Society of Ultrasound in Obstetrics and Gynecology (ISUOG)
  • International Ovarian Tumour Analysis group (IOTA)
  • International Biometric Society (IBS)
  • International Society For Clinical Biostatistics (ISCB)

Languages

  • Spanish: Native
  • Basque: Native
  • English: Full Working Proficiency
  • French: Full Working Proficiency

Last updated: 2026-02-27