Across twenty-five years I have worked at the intersection of artificial intelligence, neuroscience, and computational biology — in academia and through the startups I have built. This page separates peer-reviewed academic work, my current research at OIST, and applied research within ventures.
My active research builds biologically grounded, interpretable models of the brain to understand and predict neurodegenerative disease.
Modeling how pathological proteins spread through the brain's network, integrating regional gene expression with graph-based machine learning across hundreds of brain regions — in marmoset and human cohorts — toward earlier detection and intervention.
Physical reservoir computing in unconventional materials; a 3D mechanical digital twin of the mouse for behavioral and pharmacological modeling; VoxelFold, an AlphaFold-inspired voxel-based approach to cross-species brain modeling; manifold-based methods for representing neural state spaces; cross-species translational modeling; and cross-disciplinary method transfer from astronomy and the physical sciences.
Two decades of published, peer-reviewed work spanning AI, bioinformatics, neuroscience, and human–computer interfaces. Full citations below.
Values embedded in large language models across Spanish, English, and Japanese; AI agents for legal access and refugee assistance; AI applications in precision oncology.
Comparative genomics (equine reference sequence), cross-kingdom microRNA / plant-virus homology, molecular mimicry in neuromyelitis optica, frontotemporal degeneration genetics, and feature-importance methods for microarray and nucleosome data.
A tactile perception interface for vision-impaired individuals (granted U.S. patent; pneumatic micro-valve display); brain–computer interfaces via ICA and neural networks; password-protected visual cryptography via cellular automata.
Research carried out within the companies I build — focused on real-world deployment. Described here at a high level; technical and proprietary detail is shared under appropriate agreements.
Autonomous aerial intelligence for high-stakes environmental challenges such as wildfire response — combining AI/ML perception with multimodal sensing to detect, assess, and respond faster than current systems allow. XPRIZE Wildfire participant.
Exploring olfaction as an early-warning signal for neurodegenerative disease — aiming at non-invasive, accessible screening for conditions like Parkinson's and Alzheimer's well before conventional diagnosis. A long-horizon program building toward dedicated sensing.
Venture research is described at a deliberately high level. Methods, data, and unpublished or patent-pending details are available to partners and collaborators under appropriate agreements.
Selected peer-reviewed publications, conference papers, and patents. A fuller record of talks and presentations is available in the CV (PDF).
Artificial Intelligence in Precision Oncology: The Way Forward. Rebolledo-Mendez, J.D., Vaishnav, R. Int. J. Molecular & Immuno Oncology, 7(3):77–81. 2022.
Artificial Intelligence in Fighting Cancer: A Short Review and Trends. Rebolledo-Mendez, J.D. Int. J. Molecular & Immuno Oncology. 2017.
Comparison of Equine Reference Sequence with the Source Data Used to Derive It. Rebolledo-Mendez, J.D., Hestand, M.S., Coleman, S., Zeng, Z., Orlando, L., MacLeod, J.N., Kalbfleisch, T. PLoS ONE. 2015.
A Grayscale Pneumatic Micro-Valve for a Reconfigurable Tactile Tablet for Vision-Impaired Individuals. Schneider, J., Rebolledo-Mendez, J.D., McNamara, S. J. Micromechanics & Microengineering, 25(1):015008. 2014.
Time-Dependent Gene Profiling Indicates Different Phases for Ischemia/Reperfusion Injury in Retina. Andreeva, K., Zhang, M., Fan, W., Li, X., Rebolledo-Mendez, J.D., Cooper, N.G. Ophthalmology and Eye Diseases, 2014:06. 2014.
Password-Protected Visual Cryptography via Cellular Automata. Yampolskiy, R.V., Rebolledo-Mendez, J.D., Hindi, M.M. Springer Transactions on Data Hiding & Multimedia Security. 2013.
Cross-Kingdom Sequence Similarities Between Human microRNAs and Plant Viruses. Rebolledo-Mendez, J.D., Vaishnav, R.A., Cooper, N.C., Friedland, R.P. Communicative & Integrative Biology, 6:e24951. 2013.
Aquaporin-4 Molecular Mimicry and Implications for Neuromyelitis Optica. Vaishnav, R.A., Liu, R., Chapman, J., Roberts, A.M., Ye, H., Rebolledo-Mendez, J.D., et al. J. Neuroimmunology, 260(1–2):92–98. 2013.
Behavioral-Variant Frontotemporal Lobar Degeneration with ALS and a Chromosome 9p21 Hexanucleotide. Friedland, R.P., Shah, J.J., Farrer, L.A., Vardarajan, B., Rebolledo-Mendez, J.D., Mok, K., Hardy, J. Frontiers in Neurology, 3:136. 2012.
Application of a Feature Selection Method to Nucleosome Data: Accuracy Improvement and Comparison with Other Methods. Higashihara, M., Rebolledo-Mendez, J.D., Yamada, Y., Satou, K. WSEAS Trans. Biology & Biomedicine, 5(5):95–104. 2008.
Characterization and Clustering of GO Terms by Feature-Importance Vectors Obtained from Microarray Data. Rebolledo-Mendez, J.D., Higashihara, M., Yamada, Y., Satou, K. WSEAS Trans. Biology & Biomedicine, 5(7):163–172. 2008.
The Influence of Societal Values on the Spanish Language and LLMs. Rebolledo-Mendez, J.D. IEEE Int. Conf. on Big Data, Washington, D.C. 2024.
Comparative Analysis Among Spanish, English and Japanese for Embedded Values in LLMs. Rebolledo-Mendez, J.D. IEEE Int. Conf. on Big Data, Washington, D.C. 2024.
General Framework for Fast Implementation of Conversational AI as Tech-for-Good in Law. Rebolledo-Mendez, J.D., Gomez Briones, F.A., Gonzalez Cardona, L.G. IEEE Int. Conf. on Big Data, Osaka. 2022.
Legal Artificial Assistance Agent to Assist Refugees. Rebolledo-Mendez, J.D., Gomez Briones, F.A., Gonzalez Cardona, L.G. IEEE Int. Conf. on Big Data, Osaka. 2022.
The Intersection of Human Senses and Exponential Technologies: Exploring Relevant Trends and the Future of Senses. Rebolledo-Mendez, J.D. In Augmented Intelligence: Smart Systems and the Future of Work and Learning (D. Araya, ed.). 2018.
Tactile representation of detailed visual and other sensory information by a perception interface apparatus. U.S. Patent 10,175,756 — granted Jan 8, 2019. Inventor: Jovan David Rebolledo-Mendez.
System for monitoring, processing, analysis and storage of physiological signs for the recognition of emotions. U.S. Patent Application 2020/0388387.
Environmental surveillance for chemicals and substances on air, land, and water based on multimodal and multidimensional data. U.S. Provisional 63/484,741 (pending).
Power-grid macro energy saturation characterization. U.S. Provisional 63/484,744 (pending).
Characterization of Microarray Dataset from the Perspective of Feature Importance. PhD Thesis, Kanazawa University. 2009.
Brain–Computer Interface Based on ICA and Neural Network. Master's Thesis, Kanazawa University. 2006.