Estibaliz Gómez-de-Mariscal
Group leader
Estibaliz is a mathematician by training and earned her PhD in Mathematical Engineering from Universidad Carlos III de Madrid (Spain) in 2021, supervised by Prof. Arrate Muñoz Barrutia and Prof. Denis Wirtz (Johns Hopkins University). She was a postdoctoral researcher in Prof. Ricardo Henriques’ lab in Portugal working in smart-microscopy and microbiology, supported by an EMBO Postdoctoral Fellowship and an FCT CEEC Fellowship. Estibaliz contributed new AI-driven methods for bioimage analysis across applications including cancer cell migration, phototoxicity, and microbiology, as well as novel statistical approaches to analyse big data. She has also co-developed widely adopted open-source tools such as deepImageJ, the BioImage Model Zoo, and DL4MicEverywhere. Her contributions have been recognised with several awards, including the SBI2 President’s Award and a Wellcome Trust Discovery Award. Beyond her research, Estibaliz has played a key role in advancing the bioimage analysis community through collaborative and infrastructure initiatives. She is a founding member of the AI4LIFE EU consortium, contributing to the development of standards, training, and accessible resources for the application of AI in life sciences. Her work emphasises openness, reproducibility, and usability, with the goal of lowering barriers to advanced computational methods in biomedical research.
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Martim Gamboa
PhD Student
I completed my BSc and MSc in Computer Science at NOVA School of Science and Technology (FCT NOVA). For my MSc thesis, I developed an AI-empowered solution at the Fior Lab and in collaboration with Gómez-de-Mariscal to automate cell death quantification in zebrafish for personalized cancer treatment screening (zAvatars). I continued this work as part of the Liga Portuguesa Contra o Cancro – Oeiras Valley’s initiative on AI-supported oncology research. Now, I am pursuing a PhD in cancer research at the Champalimaud Foundation between the labs of Rita Fior and Estibaliz Gómez-de-Mariscal, where I aim to bridge novel AI-driven technologies with advancements in scientific discovery.
Mariana Miranda
MSc Student
I am currently an MSc student in Computational Biology and Bioinformatics at NOVA School of Science and Technologyc working between Almeida’s Group and Gómez-de-Mariscal’s Group. I completed my BSc in Computer Science and Engineering at Instituto Superior Técnico in 2024, where I developed a strong foundation in machine learning, artificial intelligence, and software engineering. My interest in biology, neuroscience, and their intersection with artificial intelligence led me to pursue a master’s degree in computational biology. Before starting my master’s, I worked as a Technology Intern at Amgen, where I contributed to the development and validation of generative AI solutions and supported data quality processes.