Professional Logbook

This page serves as a structured professional logbook of my work across research, applied engineering, teaching, and interdisciplinary collaboration.

It is designed as a navigable map of what I have actually built, studied, and deployed over time.

Rather than a traditional CV, it organizes my experience around projects, problem domains, and tangible outcomes, with links to publications, tools, and selected blog entries that document the process behind the work.

Note: Some linked blog posts are written in Spanish and capture real-time activities, reflections, and events.

2019 – 2025 · AI for Healthcare and Neuroscience

Data Scientist — Faculty of Medicine, University of Chile
Neurosystems · SCIANLab · AudioBrain · Tech4Medics-Lab

Predictive modeling in neuroscience (EEG)

Developed machine learning models to predict postoperative complications
Applied spectral analysis and statistical modeling to EEG signals
Modeled combined effects of anesthetics using clinical and electrophysiological data

Blog: Activities and research discussions on EEG and clinical data
Projects: FONDEF ID19I10345, ID20I10371

Automated diagnostics (glaucoma)

Built a machine learning pipeline based on chromatic pupilometry
Integrated physiological signals with predictive modeling for clinical applications

Blog: From Retina to Brain — Scientific Workshop (2025)
Thesis supervision: glaucoma diagnosis (2024)

Deep learning for biomedical imaging

Developed RaViTT, a Vision Transformer-based model
Designed deep learning pipelines for 3D nuclei segmentation (top-3, Cell Tracking Challenge)
Applied machine learning to microscopy image classification and analysis

Paper: 3D Nuclei Segmentation — IEEE CAI 2023
Paper: RaViTT (arXiv)
Blog: student projects and thesis defenses in applied AI

Scientific software and open tools

Co-developed VolumePeeler, a FIJI plugin for 3D visualization and quantification
Focused on improving interpretability of complex biological image stacks and membrane deformation via image analysis

Publication: BMC Bioinformatics (2023)
Blog: project development and applied research workflows

Early biomarkers of cognitive decline

Designed and evaluated an audiological test (AudioBrain)
Investigated otoacoustic emissions as a non-invasive biomarker

Paper: Alzheimer’s & Dementia (2024)
Blog: Congreso Futuro presentation (2026)

Population-level studies and mental health

Analyzed social isolation and loneliness in older adults post-pandemic
Applied statistical and data-driven approaches to large-scale datasets

Paper: Frontiers in Psychology (2026)
Paper: Alzheimer and Dementia (2025)

2009 – 2018 · Computer Vision in Industry

Applied Research Engineer — University of Chile

Smart mining systems

Developed computer vision methods for lithology classification from video
Designed pattern recognition pipelines for industrial environments and rock type estimation

Built vision-based systems for stock breakage detection in supermarkets
Applied feature extraction and optimization strategies for object detection

Project: INNOVA 13IDL2-23589

IoT and geotechnical monitoring

Designed and deployed Bluetooth-based telemetry systems
Developed hardware and software pipelines for real-time monitoring in mining

Collaboration: CSIRO Chile
Work presented in MPES 2019

Education

PhD in Electrical Engineering — University of Chile (2020)
Focus: color–texture classification using multiscale feature extraction and SVM ensembles
Related:
- Thesis: Color–Texture Pattern Classification Using Global–Local Feature Extraction, an SVM Classifier, with Bagging Ensemble Post-Processing
- Publication: Applied Sciences (2019)
Diploma in Electrophysiology — University of Chile (2019)
Focus: bioelectric signal processing for clinical applications
Electrical Engineering — University of Chile (2010)
Focus: iris detection using Particle Swarm Optimization
Related:
- Thesis: Molds design for iris detection through Particle Swarm Optimization

Cross-cutting and Independent Projects

Independent film production

Project: La Ciudad de Los Cesares
Role: Producer (IMDB)
Coordinated team, logistics, and production workflow from planning to delivery
Managed resources and timelines to ensure completion of a full-length independent project
Successfully delivered a crowdfunded production, balancing creative and operational constraints

La ciudad de los cesares (2022)

Urban documentation and cultural heritage

Project: Historic street plaques of Santiago
Combined fieldwork, photography, and urban analysis

Publication: Cuadernos de Beauchef (2024)
Blog: urban exploration and cultural documentation

Virtual environments and digital experiences

Project: Virtual Beauchef (Gather Town)
Recreated a university campus to foster interaction during the pandemic

Blog: Virtual campus initiative (2021)

Independent development

App: DeloreanCamara
Real-time alignment of historical and current images for urban comparison

Blog: DeloreanCamara (2025)
Blog: Urban film analysis (2026)

Media and event photography

Role: Accredited photographer (radio media)
Produced visual content for media coverage under real-time constraints
Developed a consistent visual narrative aligned with communication needs
Strong alignment with visual analysis and observation, complementing computer vision work

Radio Azul Chile

Teaching and Mentorship

Courses taught:
- Machine Learning and Deep Learning
- Computer Vision and Image Processing
- Electrical Engineering fundamentals
Supervision of undergraduate theses in:
- computer vision
- biomedical AI
- signal processing

Blog: Deep Learning course (2026)
Blog: Teaching reflections and evaluations

Academic and Community Engagement

Reviewer — ISICS 2024 (Intelligent Computing Systems Symposium)
Speaker in AI, computer vision, and interdisciplinary research events
Participation in international conferences and scientific outreach

Blog: conferences, seminars, and outreach activities

Technical Stack

Languages: Python, R, MATLAB
Frameworks & Tools: PyTorch, TensorFlow, scikit-learn, OpenCV, FIJI/ImageJ
AI/ML: Deep Learning, Transformers, SVM, NLP
Computer Vision: segmentation, feature extraction, real-world deployment
Signal Processing: EEG, spectral analysis
Infrastructure: Docker, Google Cloud, Huawei Cloud

Final note

This logbook is designed to answer a simple question:

“What have you actually worked on?”

Each section provides not just a summary, but traceable evidence through projects, publications, and documented work.