sebasmos [ad] mit.edu, scajasordonez [ad] gmail.com
Curriculum Vitae
August 2025
9/2022 - Present. Senior - AI Scientist at the Ireland’s National Center for Applied AI. As a core member of the AI team for ICOS, an AI ecosystem for Edge AI, I specialize in multi-modal learning, online learning, federated learning, and computer vision. Developing AI APIs, utilizing High Performance Computing (HPC), and implementing DevOps with Docker, Kubernetes and SLURM/Singularity. I support both national and EU innovation projects.
01/2022 - 01/2024. Fellow in Computer Science at Harvard University. I developed and assessed Computer Vision and Deep Learning algorithms for imaging-based single-cell methods projects, specifically CyCIF using high-dimensional microscopy images, within Harvard’s Visual Computing Group and the Harvard Medical School’s Lab of Systems Pharmacology. My work involved instance segmentation algorithms, unsupervised learning, image translation models, and unbiased pixel-level feature extraction for analyzing lateral spillover in segmented images of tissue. Supervised by Hanspeter Pfister and Siyu Huang at the Harvard John A. Paulson School of Engineering and Applied Sciences.
01/2022 - 08/2022. Machine Learning Intern at EcoVadis. I developed an innovative attribution strategy leveraging Contrastive Language-Image Pretraining (CLIP) to enhance logo identification and verification within EcoVadis’s production environment. This project combined YOLO and transformers for advanced text-image training and multi-modal logo identification. I also designed a self-supervised method for efficient logo annotation, curating over 20,000 images to refine the dataset, which significantly improved logo recognition in documents under the guidance of Sophia Katrenko in Paris, France.
05/2020 - 10/2020. Computer Vision and Artificial Intelligence Engineer at AI India Innovation Centre. I led the “Land Use Land Cover Classification using Advanced ML and DL Techniques for Larger Study Area” project. My primary tasks included accuracy assessment, satellite imagery dataset creation from scratch, model training and testing, as well as utilizing geospatial data and cloud services, including GPU and E2E cloud services, and Google Colab, based in Valencia, Spain.
2019. Astronomy and Physics Teacher. My role involved educating 400+ students about astronomy and physics at Camp Poyntelle, Pennsylvania, U.S.A.
2016 - 2018. IT Network Technician. Responsible for documenting all systems and network adjustments and ensuring the maintenance and installation of hardware and software for telecommunication and network devices across various faculties of the University of Cauca, Colombia.
2018. Computer Science Teacher. Developed web and mobile applications as part of the general literacy curriculum program for refugees at Social Hackers Academy in Athens, Greece.
2018. Full-Stack Software Developer. Designed and developed the official webpage for a psychiatric center in Athens, Greece, at Althaia Psychiatric Centre.
2020. Data Scientist at Correlation One. DS4A/Colombia 4.0. Data Science for All (DS4A)/Colombia 2.0, highly tailored program focused on Data Science and Artificial Intelligence - Sponsored by The Ministery of Information and Communication Technologies of Colombia (MinTIC) with Correlation One
Logo verification and characterization with machine learning for document analysis. [Online]. EcoVadis - Paris, France.
Mechanism for the characterization of motion artifacts in photophethysmography signals under low-intensity movements for tachycardia and bradycardia eventsTachycardia and Bradycardia Detection using Wearable Photoplethysmography under low-intensity Motion Artifacts. [Online]. University of Cauca - Popayan, Colombia.
Aspis, M., S. A. Cajas, Suárez-Cetrulo, A. L., & Carbajo, R. S. (2025). DriftMoE: A Mixture of Experts Approach to Handle Concept Drifts. arXiv preprint arXiv:2507.18464. [Paper]
S. A. Cajas, L. F. Torres Torres, M. Bifulco, C. A. Duran, C. Bosch and R. S. Carbajo, “Embedding-Aware Quantum-Classical SVMs for Scalable Quantum Machine Learning,” 2025. [Paper]
S. A. Cajas, et al. Humility and curiosity in human–AI systems for health care. The Lancet, 2025, vol. 406, no 10505, p. 804-805. [Paper]
G. J. Baker, E. Novikov, S. Coy, Y.-A. Chen, C. B. Hug, Z. Ahmed, S. A. Cajas, et al. “Morphology-aware profiling of highly multiplexed tissue images using variational autoencoders,” bioRxiv. [Paper]
J. Garcia, X. Masip-Bruin, A. Giannopoulos, P. Trakadas, S. A. Cajas, et al. “ICOS: An Intelligent MetaOS for the Continuum”, MECC 2025, ACM EuroSys 2025. [Paper]
S. A. Cajas, J. Samanta, A. L. Suárez-Cetrulo, R. S. Carbajo (2024). Adaptive Machine Learning for Resource-Constrained Environments. DELTA 2024, LNCS, Springer. [Online] [Pre-print]
Moukheiber, D., Restrepo, S. A. Cajas, & L. A. Celi (2024). A multimodal framework for extraction and fusion of satellite images and public health data. Scientific Data, 11(1), 634. [Paper]
S. A. Cajas, Restrepo, D., Moukheiber, D., Kuo, K. T., Wu, C., et al. (2024). A Multi-Modal Satellite Imagery Dataset for Public Health Analysis in Colombia (version 1.0.0). PhysioNet. [Paper] [Code]
Kuo, K. T., Moukheiber, S. A. Cajas, Restrepo, D., et al. (2024). DengueNet: Dengue Prediction using Spatiotemporal Satellite Imagery for Resource-Limited Countries. arXiv preprint. [Paper]
K. Xie, S. Huang, S. A. Cajas, H. Pfister, D. Wei (2024). “S3-TTA: Scale-Style Selection for Test-Time Augmentation in Biomedical Image Segmentation,” IEEE ISBI 2024. [Paper]
Restrepo, D., Wu, C., S. A. Cajas, Nakayama, L. F., Celi, L. A., & López, D. M. (2024). Multimodal deep learning for low-resource settings: A vector embedding alignment approach for healthcare applications. medRxiv. [Paper]
A. L. Suárez-Cetrulo, S. A. Cajas, J. Samanta (2023). “Intelligence Layer - ICOS project Architecture White Paper”. [Paper]
S. A. Cajas, Astaiza, P., Garcia-Chicangana, D. S., Segura, C., Lopéz, D. M. (2021). ECG Arrhythmia Classification Using Non-Linear Features and CNNs. Computing in Cardiology. [Paper] [Code]
S. A. Cajas, Landínez, M. A., López, D. M. (2020). Modeling of motion artifacts on PPG signals for heart-monitoring using wearable devices. 15th Int. Symposium on MIPA, SPIE. [Paper] [Code]
S. A. Cajas (2020). “Colcart - Web and mobile application to market and produce organic products in the department of Cauca”. [Online]
S. A. Cajas (2020). “Design and implementation of a satellite model for the Ibero-American Canned Satellite Competition”. [Online]