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Hi, I'm Luciano, a recent MSc graduate specializing in Artificial Intelligence and Embedded Systems in Healthcare. I'm passionate about leveraging machine learning and data-driven solutions to revolutionize healthcare delivery. I have a keen interest in applying my technical skills in real-world medical applications while collaborating with interdisciplinary teams. Outside of my academic pursuits, I enjoy music production and keeping active through sports and fitness. I believe in the power of technology to create meaningful innovations in healthcare and am excited about the opportunities that lie ahead.…Hi, I'm Luciano, a recent MSc graduate specializing in Artificial Intelligence and Embedded Systems in Healthcare. I'm passionate about leveraging machine learning and data-driven solutions to revolutionize healthcare delivery. I have a keen interest in applying my technical skills in real-world medical applications while collaborating with interdisciplinary teams. Outside of my academic pursuits, I enjoy music production and keeping active through sports and fitness. I believe in the power of technology to create meaningful innovations in healthcare and am excited about the opportunities that lie ahead.

Luciano Deben

AI Engineer, Data Scientist, AI Strategy Consultant, +1

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Hi, I'm Luciano, a recent MSc graduate specializing in Artificial Intelligence and Embedded Systems in Healthcare. I'm passionate about leveraging machine learning and data-driven solutions to revolutionize healthcare delivery. I have a keen interest in applying my technical skills in real-world medical applications while collaborating with interdisciplinary teams. Outside of my academic pursuits, I enjoy music production and keeping active through sports and fitness. I believe in the power of technology to create meaningful innovations in healthcare and am excited about the opportunities that lie ahead.…Hi, I'm Luciano, a recent MSc graduate specializing in Artificial Intelligence and Embedded Systems in Healthcare. I'm passionate about leveraging machine learning and data-driven solutions to revolutionize healthcare delivery. I have a keen interest in applying my technical skills in real-world medical applications while collaborating with interdisciplinary teams. Outside of my academic pursuits, I enjoy music production and keeping active through sports and fitness. I believe in the power of technology to create meaningful innovations in healthcare and am excited about the opportunities that lie ahead.

Available to hire

Hi, I’m Luciano, a recent MSc graduate specializing in Artificial Intelligence and Embedded Systems in Healthcare. I’m passionate about leveraging machine learning and data-driven solutions to revolutionize healthcare delivery. I have a keen interest in applying my technical skills in real-world medical applications while collaborating with interdisciplinary teams.

Outside of my academic pursuits, I enjoy music production and keeping active through sports and fitness. I believe in the power of technology to create meaningful innovations in healthcare and am excited about the opportunities that lie ahead.

Skills

Experience Level

Expert

Expert

Expert

Expert

Language

English

Fluent

Dutch

Fluent

Work Experience

Master Thesis Researcher at TU/e

January 1, 2025 - November 11, 2025

Designed and implemented machine learning models for predicting cancer drug response, optimizing models for deployment in real-time inference in collaboration with multidisciplinary teams.

AI Developer at Philips

January 1, 2024 - November 11, 2025

Part of an interdisciplinary team project developing an AI solution for enhancing efficiency and accuracy in minimally invasive cancer treatments through deep learning model implementation.

Master Thesis – AI for Cancer Drug Response at TU/e

January 1, 2025 - November 12, 2025

Designed and implemented ML models (XGBoost, neural networks) for patient-specific drug response prediction. Optimized models for deployment, enabling efficient real-time inference. Collaborated with a multidisciplinary team of AI and biomedical researchers.

AI in Surgical Imaging – Interdisciplinary Team Project at TU/e & Philips

January 1, 2024 - November 12, 2025

Developed an AI solution for the Image Guided Therapy Challenge on TACE procedures, enhancing efficiency and accuracy in minimally invasive cancer treatments. Built supervised learning models in PyTorch to map standard DDR images to vessel-enhanced DRR images, reducing contrast agent usage while maintaining high vessel visibility. Created a working prototype with Streamlit, integrating training pipeline, testing framework, and visualization of results. Collaborated with Philips researchers and TU/e peers in a cross-disciplinary environment.