プロフィール詳細

プロジェクトを作成

★★★★★

☆☆☆☆☆

★★★★★

☆☆☆☆☆

Emanuele F.に依頼

Italy

AI Researcher & Applied Mathematician | MSc TU Delft | Healthcare Workflow Optimization & Machine Learning

プロフィール概要

I am an applied mathematician (MSc, TU Delft; BSc, Politecnico di Milano) with professional experience as an AI researcher in the Eureka IWish project, where I collaborated with TU Delft, Philips, and hospital partners to optimize operating room workflows. My background combines advanced mathematics, machine learning, and operations research. I specialize in: Machine learning and AI model development Statistical analysis and predictive modeling Operations research and workflow optimization Data science consulting for healthcare and beyond I have a strong track record of working across academia and industry, delivering actionable insights and well-documented results on short timelines. I offer flexible consulting, data analysis, and algorithm development support for research groups, startups, and companies looking to leverage advanced analytics and AI for practical impact. Rates may vary depending on project scope and duration.

専門分野

• ☆ Industrial Engineering
• ☆ Industrial Operations Research
• ☆ Data Analysis
• ☆ Machine Learning
• ☆ Artificial Intelligence
• ☆ Applied Mathematics
• ☆ Mathematical Models
• ☆ Mathematical Optimization
• ☆ Differential Equations
• ☆ Computational Mathematics

サービス

• Writing
• Research
• Consulting
• Data & AI
• Product Development

Writing Clinical Trial Documentation, Medical Writing, Technical Writing

Research Scientific and Technical Research, Systematic Literature Review

Consulting Healthcare Consulting, Scientific and Technical Consulting

Data & AI Predictive Modeling, Statistical Analysis, Image Processing, Image Analysis, Data Visualization, Data Cleaning

Product Development Product Evaluation, Concept Development

職務経験

AI Researcher

Delft University of Technology

10月 2023 - 10月 2025

学歴

MSc (Applied Mathematics)

Delft University of Technology

9月 2021 - 7月 2023

BSc (Mathematical Engineering)

Politecnico di Milano

9月 2017 - 7月 2021

認定資格

• Computer Vision by Learning

  Advanced School for Computing and Imaging

  1月 2025 - 現在

• Machine Learning and Optimisation

  SIKS

  7月 2024 - 現在

出版物

JOURNAL ARTICLE

Deep learning methods for clinical workflow phase-based prediction of procedure duration: a benchmark study @article{Frassini_2025, title={Deep learning methods for clinical workflow phase-based prediction of procedure duration: a benchmark study}, volume={30}, ISSN={2469-9322}, url={http://dx.doi.org/10.1080/24699322.2025.2466426}, DOI={10.1080/24699322.2025.2466426}, number={1}, journal={Computer Assisted Surgery}, publisher={Informa UK Limited}, author={Frassini, Emanuele and Vijfvinkel, Teddy S. and Butler, Rick M. and van der Elst, Maarten and Hendriks, Benno H. W. and van den Dobbelsteen, John J.}, year={2025}, month=feb } . Computer Assisted Surgery.

Emanuele Frassini, Rick M. Butler, Teddy S. Vijfvinkel, Sjors van Riel, Chavdar Bachvarov, Jan Constandse, Maarten van der Elst, John J. van den Dobbelsteen, Benno H.W. Hendriks (2025). Benchmarking 2D human pose estimators and trackers for workflow analysis in the cardiac catheterization laboratory . Medical Engineering & Physics.

Emanuele Frassini, Rick M. Butler, Teddy S. Vijfvinkel, Sjors van Riel, Chavdar Bachvarov, Jan Constandse, Maarten van der Elst, John J. van den Dobbelsteen, Benno H.W. Hendriks (2025). 2D human pose tracking in the cardiac catheterisation laboratory with BYTE . Medical Engineering & Physics.