Description

I am an AI Scientist and Software Architect with a PhD and extensive postdoctoral experience specializing in the intersection of machine learning, biomedical signal processing, and medical imaging. My core expertise lies in transforming complex, noisy biological data into robust, deployable AI models and software applications.

Through my technical consulting agency, Scifork, I have successfully developed end-to-end projects ranging from machine learning pipelines to complete backend/frontend software architectures and blockchain systems. I bridge the gap between rigorous academic research and market-ready technological solutions.

Current & Previous Research Focus

Digital Pathology & Cancer Diagnostics (Current): I am currently developing state-of-the-art AI architectures to analyze and classify H&E (Hematoxylin and Eosin) slides. This involves advanced computer vision and deep learning techniques.

Biomedical Signal Processing (Postdoctoral Research): During my postdoctoral tenure, I focused on applying advanced AI and statistical modeling to process complex biomedical signals.

Core Competencies & Skills

Artificial Intelligence & Machine Learning: Deep Learning, Computer Vision (specifically medical imaging), Predictive Modeling, and Algorithm Optimization.

Biomedical Data Analysis: Signal processing, handling complex healthcare datasets, and building diagnostic support tools.
Full-Stack Software Development: Designing and deploying scalable backend infrastructures and intuitive frontend interfaces to make AI models accessible to end-users.

Blockchain Architecture: Designing secure, decentralized systems and smart contracts (highly applicable for healthcare data security and Web3 projects).

How I Can Help You

Whether you are a research lab needing to process large sets of biomedical data, a MedTech startup requiring a custom machine learning pipeline, or a company needing a full-stack architect.

Industry field of expertise

Languages

English
Native or bilingual
Spanish
Native or bilingual

Workplace preferences

Remote only

Primarily works remotely

University of Geneva,
Postdoctoral Researcher
January 2016 - January 2020 (4 years)
Switzerland
Postdoctoral research at the department of fundamental Neuroscience, faculty of medicine. Machine learning for brain signal classification, BrainCOM project, funded by the European Commission
Matlab Python
SciFork.
Founder & Technical lead.
January 2021 - Today (5 years and 5 months)
Tech development and Consultancy services – signal analysis, artificial intelligence, Blockchain technologies, and Web-3.
Impossible Cloud Network
Blockchain Architect
January 2025 - June 2025 (5 months)
Responsible for the design of the blockchain architecture of ICN Responsible for managing the smart contracts team of ICN Lead the team to a successful launch in a record time starting the design from scratch.