Daniel SilvaDS
Open to opportunities

Daniel Silva

@danielsilva

Deep Learning enthusiast with a passion for healthcare.

Portugal

What I'm looking for

Seeking a challenging role that leverages my Deep Learning skills to drive innovation in healthcare, with opportunities for growth and collaboration.

I'm Daniel José Barros Silva, a driven and motivated individual with a strong background in Bioengineering and a passion for Deep Learning, particularly in the healthcare sector. With a solid foundation in Computer Vision and experience in developing model architectures and training procedures, I'm committed to advancing my skills and knowledge in this field.

Throughout my academic and professional journey, I've had the opportunity to work on various projects and internships, including developing natural language processing and Interpretable AI techniques, fine-tuning algorithms for edges and breast contour detection, and generating clinical reports for Interpretable AI using X-Rays. I'm excited to continue exploring the applications of Deep Learning in healthcare and contributing to innovative projects that make a meaningful impact.

In addition to my technical skills, I'm a team player with excellent problem-solving abilities and a strong work ethic. I'm always looking to stay up-to-date with the latest breakthroughs and advances in AI and Neuroscience, and I'm excited to collaborate with like-minded individuals who share my passion for innovation and improvement.

Experience

Work history, roles, and key accomplishments

II

Master Thesis Intern

INESC TEC / Netherlands Cancer Institute

Feb 2023 - Sep 2023 (7 months)

Developed model architectures and training procedures inspired by Disentanglement Representation Learning to improve generalizability in Chest X-ray Multi-Center Data.

IF

Intern

INESC TEC / Champalimaud Foundation

Sep 2022 - Dec 2022 (3 months)

Fine-tuning of algorithms for edges and breast contour detection, for the aesthetic evaluation of Breast Cancer Conservative Treatment.

FT

Intern

Faculty of Engineering INESC TEC

Feb 2022 - Sep 2022 (7 months)

Developed natural language processing and Interpretable AI techniques for generating Clinical Reports for Interpretable AI Education using X-Rays.

Education

Degrees, certifications, and relevant coursework

Daniel hasn't added their education

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Tech stack

Software and tools used professionally

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Daniel Silva - Master Thesis Intern - INESC TEC / Netherlands Cancer Institute | Himalayas