Go directly to page contentent
Business Support Unit
Tommaso Rodani
Research Technologist

I am a Research Technologist and Data Engineer at AREA Science Park, where I work on advanced data infrastructures and AI services for scientific research. My background combines data science, machine learning, FAIR data management and HPC/cloud technologies. I develop scalable workflows and services for the ORFEO HPC ecosystem, including model serving, LLM/RAG applications and AI-augmented tools for research infrastructures. My work aims to make scientific data and AI services more interoperable, reproducible and usable by research communities, laboratories and industry.

Research Interests
  • Data Engineering for Scientific Research
  • FAIR-by-Design Data Management
  • AI-Augmented Research Infrastructures and Agentic Workflows
  • LLM/RAG Systems and Model Serving
  • Machine Learning for Materials Science
  • HPC, Kubernetes and Cloud-Native AI Service
Experience & Education
  • Permanent Research Technologist / Data Engineer at AREA Science Park, 2026–present
  • Research Technologist / Data Engineer at AREA Science Park, 2024–2026
  • Industrial PhD in Applied Data Science & Artificial Intelligence at Università degli Studi di Trieste, 2026
  • Research Fellow / Data Infrastructure at AREA Science Park, 2020–2022
  • M.Sc. in Data Science and Scientific Computing at Università degli Studi di Trieste, 2020
  • Master in Cybercrime and Digital Forensics at Sapienza Università di Roma, 2017
Recent Publications
18/07/2024
Enhancing Multi-Tip Artifact Detection in STM Images Using Fourier Transform and Vision Transformers
Abstract We address the issue of multi-tip artifacts in Scanning Tunneling Microscopy (STM) images by…
Go to the news Enhancing Multi-Tip Artifact Detection in STM Images Using Fourier Transform and Vision Transformers
Projects
03/07/2024
NFFA-DI Nano Foundries and Fine Analysis Digital Infrastructure
NFFA-DI is the NFFA Europe Pilot upgrade proposal for realizing a Full-Spectrum Research Infrastructure for nanoscience and…
Go to the news NFFA-DI Nano Foundries and Fine Analysis Digital Infrastructure