Adriano Fragomeni
I am a Founding AI Research Scientist at NexusAM, where I research and develop AI methods for additive manufacturing, bridging cutting-edge research with real-world industrial applications. Before joining NexusAM, I completed my PhD in Computer Vision at the University of Bristol under the supervision of Professor Dima Damen and Dr. Michael Wray, and was a Research Scientist Intern at Meta AI. My research interests include Machine Learning, Deep Learning, Computer Vision, Graph Neural Networks, Vision-Language Models, and Multimodal AI. I am particularly interested in developing new learning methods and translating research ideas into practical AI systems, from video understanding to industrial AI. Outside research, I enjoy travelling, electronic music, and boxing.

Publications


Education & Experience


August 2026 - PRESENT

Founding AI Research Scientist

NexusAM

Founding AI Research Scientist at NexusAM


July 2025 - August 2026

Founding AI Engineer

NexusAM

Founding AI Engineer at NexusAM

September 2020 - May 2025

PhD in Computer Vision

University of Bristol

Supervised by Professor Dima Damen and Dr Michael Wray

May 2023 - August 2023

Research Scientist Intern

Meta AI
October 2020 - November 2022

Teaching Assistant

University of Bristol
  • Applied Deep Learning
May 2019

Python/Machine Learning Tutor

Skienda

Tutor of a six-student class during a regional course for future Data Scientist set up by Skienda startup

September 2017 - April 2020

MSc in Data Science

Sapienza University of Rome

Supervised by Dr Aristidis Anagnostopoulos, Dr Danilo Avola and Mr Luigi Cinque

September 2010 - November 2016

BSc in Physics

Sapienza University of Rome

Supervised by Dr Paolo de Bernardis

Interests


Outside research and engineering, I enjoy discovering music and travelling. This space connects the sounds, artists and places that have shaped those experiences.

Music

Artists and places that shape my sound

My musical journey started with rock and metal before evolving towards the hypnotic, groovy, tribal and darker sides of techno. I enjoy discovering new artists, venues and sounds.

01

Favourite artist network

Choose an artist to explore their sound and why they stand out to me.

02

Techno map

Techno clubs and venues I have visited around the world.

Travelling

Travelling is one of my favourite ways to keep learning. I enjoy discovering different cultures, food, architecture and ways of life—not simply collecting countries, but collecting experiences and new perspectives.

0countries visited
0continents explored
0countries to explore

Contact Me