Open to opportunities

Dylan Nico Ambrosi

@dylannicoambrosi

Message

I'm building AI and data-driven solutions for biomedical and optimization problems.

Italy

Message

What I'm looking for

I'm looking for an entry-level AI/ML, data science, or software engineering role where I can apply my work in machine learning, biomedical data analysis, optimization, and full-stack development.

I'm conducting master's research at the University of Pisa on differential gene expression in PANS-related data, identifying molecular patterns and candidate biomarkers within an international initiative originating at Stanford.

I've built and evaluated machine-learning models for pancreatic cancer survival prediction, implemented Frank-Wolfe optimization algorithms, and developed a quantum 1-Nearest Neighbor algorithm using IBM Qiskit. My projects also include LSTM-based cyberbullying classification and data mining for cycling race data.

I've contributed to a React and Node.js Industry 4.0 KPI dashboard and completed a web development internship at the National Research Council (CNR).

Experience

Work history, roles, and key accomplishments

Web Development Intern

National Research Council (CNR)

Completed a school placement focused on web development using PHP, JavaScript, and HTML5.

PHP JavaScript HTML5

Education

Degrees, certifications, and relevant coursework

University of Pisa

Master of Science, Computer Science - Artificial Intelligence

2023 -

MSc in Computer Science with a focus on artificial intelligence, machine learning, data mining, optimization, and medical informatics. Currently conducting research on differential gene expression in PANS.

University of Pisa

Bachelor of Science, Computer Science

2018 - 2022

Grade: 93/110

BSc in Computer Science with coursework in algorithms, programming, databases, cloud computing, cryptography, and machine learning. Bachelor's thesis on quantum implementation of the 1-Nearest Neighbor algorithm using IBM Qiskit.