Ana Manzano Rodríguez

Ana Manzano Rodríguez

Hello! I'm a PhD Candidate at the Human-Aligned Video AI Lab (HAVA Lab) in the Informatics Institute at the University of Amsterdam, in collaboration with Amsterdam UMC. I am supervised by Prof. Cees Snoek and Prof. Marlies Schijven.

My research focuses on surgical video understanding, developing models that can interpret surgical procedures using foundation models. I'm also interested in Geometric Deep Learning and how it can enrich these representations. Working at the intersection of Computer Vision and clinical medicine, I aim to build AI systems that improve surgical training, evaluation, and patient safety.

I'm a Telecommunications Engineer by training, with a BSc and an MSc (Deep Learning for Multimedia Processing track) from Universitat Politècnica de Catalunya (UPC – ETSETB) in Barcelona. I began my research journey during an Erasmus exchange at the Czech Technical University in Prague, where my undergraduate thesis focused on medical image processing. During my master's I did two research internships, at Northeastern University in Boston working on action recognition for task guidance using egocentric video, and at the National Institute of Informatics in Tokyo, studying gender bias in Japanese national TV using face detection. While finishing my studies, I worked as a Computer Scientist at the Barcelona Supercomputing Center (BSC), and as a Technical Account Manager for Mobile World Congress (MWC), one of my favorite tech events.

Please feel free to drop me a message, always happy to connect!

Research Interests: Video Understanding • Surgical AI & Healthcare • Action Recognition & Temporal Segmentation • Foundation Models • Fairness in AI • Human-AI Alignment • Multimodal Learning

news see all

Aug 04, 2026 Our paper "What a Frozen Foundation Model Already Knows about the Critical View of Safety: Toward a Real-Time Monitor" has been accepted at the SafeSurg workshop as an Oral presentation and will be presented at MICCAI 2026 in Strasbourg, France!
Jun 24, 2026 Presenting "Bridging the gap: exposing the hidden challenges towards adoption of artificial intelligence in surgery" at EAES 2026, Athens, Greece.
Jun 13, 2026 Won the Best Group Project award and the SDS Grant at the Surgical Data Science Summer School in Strasbourg, France.

recent publications see all

A Hierarchy-Aware Video-Language Model Evaluation and Hyperbolic Baseline for Surgery
Ana Manzano Rodríguez, Pascal Mettes, Marlies P. Schijven, Cees G. M. Snoek
arXiv preprint arXiv:2609.27139, 2026
What a Frozen Foundation Model Already Knows about the Critical View of Safety: Toward a Real-Time Monitor
Soham Chaudhuri, Gerrit Jansen, Remco Hogerwerf, Joseph Krol, Ana Manzano Rodríguez
SafeSurg Workshop @ MICCAI, 2026 Oral
Bridging the gap: exposing the hidden challenges towards adoption of artificial intelligence in surgery
Ana Manzano Rodríguez, Cees Snoek, Marlies Schijven
British Journal of Surgery, 2025
PDF
HierVision: Standardized and Reproducible Hierarchical Sources for Vision Datasets
Tejaswi Kasarla, Ruthu Hulikal Rooparaghunath, Stefano D'arrigo, Gowreesh Mago, Abhishek Jha, Melika Ayoughi, Swasti Shreya Mishra, Ana Manzano Rodríguez, Teng Long, Mina Ghadimi Atigh, Max Van Spengler, Pascal Mettes
Beyond Euclidean Workshop @ ICCV, 2025 Oral
PDF
Fairness Without Labels: Pseudo-Balancing for Bias Mitigation in Face Gender Classification
Haohua Dong, Ana Manzano Rodríguez, Camille Guinaudeau, Shin'ichi Satoh
Second workshop on Fairness and ethics towards transparent AI @ ICCV, 2025
PDF
Uncovering Gender Biases in Gender Identification Models for Japanese Data Analysis
Ana Manzano Rodríguez, Camille Guinaudeau, Shin'ichi Satoh
Workshop on Demographic Diversity in Computer Vision @ CVPR, 2025
PDF