Massimiliano Viola — Product Engineer
I am currently a visiting student researcher at Stanford, working at the intersection of 3D vision and generative models. At Cerrion (YC S22), I focus instead on computer vision methods for anomaly detection in industrial processes. Before this, I conducted research at ETH Zurich on perception and human body modeling, and interned at NVIDIA (2022), MBZUAI in Abu Dhabi (2023), and a couple of other startups. I am genuinely passionate about generative models (diffusion, flow matching) in image/video/3D space, multimodality, geese, and content creation. If we share the same interests or you just want to chat about something, including potential collaborations, feel free to reach out at mviola [at] stanford [dot] edu Since 2025, I have also been posting weekly ML articles at https://mlhonk.substack.com/, check it out!
Stackforce AI infers this person is a Computer Vision and Machine Learning specialist in the AI and Tech industry.
Location: Zurich, Zurich, Switzerland
Experience: 2 yrs
Skills
- Computer Vision
- Machine Learning
- Generative Models
- Data Science
- Data Analysis
Career Highlights
- Expert in generative models and computer vision.
- Experience with leading AI research institutions.
- Award-winning project in Text-to-3D avatar generation.
Work Experience
Cerrion
Computer Vision Engineer (2 yrs)
Computer Vision Intern (5 mos)
Università degli Studi di Padova
Research Assistant (4 mos)
ETH Zürich
Student Summer Research Fellowship (SSRF) (1 mo)
MBZUAI (Mohamed bin Zayed University of Artificial Intelligence)
Undergraduate Research Internship Program (UGRIP) (1 mo)
Università degli Studi di Padova
Teaching Assistant for Data Structures and Programming (3 mos)
NVIDIA
GPU Advocate - AI (3 mos)
Statwolf
Data Scientist (3 mos)
Unipiazza
Data Analyst (3 mos)
Education
Visiting Student Researcher at Stanford University
Master's Thesis at ETH Zürich
Class of Natural Sciences at Scuola Galileiana
Master of Science - MS at Università degli Studi di Padova
at Silicon Valley Fellowship
Master of Science - MS at Technische Universität Graz
Bachelor of Science - BS at Università degli Studi di Padova