Nicola Dall'asen
Research Scientist at SB Intuitions
Tokyo, Japan
Summary
👤
Senior🎓
Top SchoolNicola Dall'asen is a research scientist and AI PhD with a decade of experience specializing in generative models, particularly diffusion models and flow matching. His work has produced multiple publications and earned a research internship at Meta FAIR, and he currently researches at SB Intuitions from Tokyo. He blends deep theoretical grounding from his PhD at the University of Pisa with practical ML and full‑stack experience gained during roles at Università di Trento and FBK. Nicola has a strong data‑science pedigree (Master’s with honors) and a track record of translating cutting‑edge generative research into applied projects. Colleagues value his curiosity-driven approach and "nerdy" enthusiasm for pushing the boundaries of generative AI. He often bridges research and engineering, moving ideas from papers to prototypes and real-world systems.
10 years of coding experience
1 year of employment as a software developer
Master's degree, Data Science, 110/110 with honors, Master's degree, Data Science, 110/110 with honors at Università di TrentoDoctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at Università di Pisa
Github Skills (43)
expressjs10
objectionjs10
java10
cpp10
swap9
javascript9
database-migrations9
python9
knexjs9
database-schema9
api9
creative-commons9
foundation-models8
database8
questions-and-answers8
Programming languages (3)
Github contributions (5)
Fodark/express-knex-objection
May 2019 - Aug 2020
A simple API system on a pg database, using knex and objection to simplify connection and management
Contributions:17 commits, 5 PRs, 6 pushes in 1 year 3 months
databasenodejsapiknexjsknexjswithpostgresql
Fodark/anonygan
Sep 2021 - Dec 2021
Contributions:11 commits, 3 pushes in 2 months
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