My research focuses on computer vision, machine learning, and biomedical applications, with an emphasis on developing AI-driven methods for real-world problems.
You can also find my full list of publications on my Google Scholar profile.
VolumePeeler: a novel FIJI plugin for geometric tissue peeling to improve visualization and quantification of 3D image stacks
BMC Bioinformatics, 2023
Developed a software tool for 3D biomedical image visualization and quantitative analysis
3D Nuclei Segmentation through Deep Learning
IEEE Conference on Artificial Intelligence (CAI), 2023
Deep learning pipeline achieving top-3 performance in the Cell Tracking Challenge
Cochlear dysfunction as an early biomarker of cognitive decline
Alzheimer’s & Dementia (DADM), 2024 — Top 10 most cited articles
Identified a non-invasive biomarker for early detection of cognitive decline using physiological signal analysis
The impact of social isolation and perceived loneliness in older adults
Frontiers in Psychology, 2026
Data-driven study on post-pandemic mental health and social factors in aging populations
Published in Frontiers in Psychology, 2026
Large-scale study on social isolation and loneliness in older adults, identifying post-pandemic mental health impacts and sex-specific differences
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Published in Alzheimer's & Dementia: Dementia Care Research and Psychosocial Factors, 2025
Data-driven study proposing sex-specific intervention strategies to reduce depression and Alzheimer’s disease risk in older adults
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Published in Alzheimers & Dementia: Public Health, 2025
Exploratory study on social isolation and loneliness in older adults, identifying post-pandemic mental health correlations
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Published in Cuadernos de Beauchef, 2024
Long-term urban documentation project mapping historical street name plaques in Santiago, Chile
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Published in Alzheimers & Dementia: Diagnosis, Assessment & Disease Monitoring (DADM), 2024
Data-driven study identifying cochlear dysfunction as an early, non-invasive biomarker of cognitive decline using physiological signal analysis
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Published in BMC Bioinformatics, 2023
Developed a 3D image processing tool for biomedical data, enabling improved visualization and quantification of complex microscopy datasets
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Published in 2023 IEEE Conference on Artificial Intelligence (CAI), 2023
Deep learning pipeline for 3D nuclei segmentation, achieving top-3 performance in the Cell Tracking Challenge benchmark
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Published in Proceedings of the 27th International Symposium on Mine Planning and Equipment Selection - MPES 2018, 2019
Design and deployment of a wireless sensing platform for geotechnical monitoring in mining environments
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Published in Applied Sciences, 2019
High-accuracy color–texture classification method achieving up to 100% accuracy across benchmark datasets
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Published in International Journal of Mineral Processing, 2015
Computer vision method for rock classification in mining, improving accuracy by up to 26%
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