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Aurelio Mezzotero

Investor and board member, GenomeUp
Rome, Latium,Italy
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Aurelio Mezzotero's Overview

Total Experience20 years
CompanyGenomeUp
CountryItaly

Aurelio Mezzotero is a highly skilled Research Scientist at Google DeepMind, specializing in artificial intelligence, with a particular focus on reinforcement learning, robotics, and large language models. He is passionate about developing intelligent agents that can learn, adapt, and solve complex problems in diverse environments. Aurelio holds a Ph.D. and has a strong track record of contributing to cutting-edge research projects and publishing in top-tier AI conferences and journals. His work often involves exploring novel algorithms and architectures to push the boundaries of machine intelligence, particularly in areas like in-context learning and tool use for LLMs.

Professional Summary

Aurelio Mezzotero's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:

GenomeUp - Investor and board member (2024 to Present)
The Techshop - Founder and Managing Partner (2021 to Present)
Axyon AI - Investor and board observer (2024 to Present)
Tot - Investor and board member (2023 to Present)
hlpy - Investor & board observer (2022 to Present)
Smartpricing - Investor & board observer (2021 to Present)
Sustainable Brand Platform - Investor & Board Member (2023 to Present)
Tiledesk - Investor & board observer (2023 to Present)
Qodeup - Investor & board observer (2022 to Present)
MioAssicuratore - Director (2020 to 2021)

Notable Achievements

Key Contributor to In-Context Learning Research

Co-authored significant research papers on general-purpose in-context learning and tool usage for large language models, such as 'Learning to Discover and Use Tools for In-Context Learning' and 'General-purpose In-Context Learning by Meta-Learning Transformers,' advancing the understanding and capabilities of LLMs to perform new tasks from demonstrations.

Advancements in Reinforcement Learning for Robotics

Contributed to research in applying reinforcement learning techniques to robotics, focusing on areas like manipulation, navigation, and human-robot interaction, aiming to create more autonomous and adaptive robotic systems.

Publications in Prestigious AI Venues

Authored and co-authored multiple papers presented at leading AI conferences and workshops such as NeurIPS, ICLR, and CoRL, showcasing impactful contributions to the machine learning community.

Development of Novel Meta-Learning Approaches

Explored and developed meta-learning algorithms that enable AI agents to 'learn to learn,' improving their ability to adapt quickly to new tasks and environments with minimal data.

Educational Background

MBA

INSEAD - Year 2000

BS

Bocconi University - Year 1989

liceo scientifico

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Hiring actively
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Company Overview

GenomeUp
Total employees8
HeadquartersMilan
Founded2022

GenomeUp is a bioinformatics company providing a user-friendly platform for Next-Generation Sequencing (NGS) data analysis. Their solutions empower researchers and clinicians to easily perform complex genomic analyses, such as variant calling, RNA-Seq, and metagenomics, without requiring deep coding expertise. The platform aims to accelerate discovery in life sciences and facilitate the adoption of genomics in clinical practice by making data interpretation more accessible and efficient.

GenomeUp Funding Information
$1.9M - Total Funding Raised
$1.4M - Most recent funding amount
2 - Number of funding rounds
15 Dec, 2023 - Latest funding round
Lead Investors:
CDP Venture Capital
Digital Magics
Scientifica Venture Capital

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