Victoria Ceccaroni

Co-founder & CEO, Welyk
Rome, Latium,Italy
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Who Is Victoria Ceccaroni?

Total Experience22 years
CompanyWelyk
CountryItaly

Victoria Ceccaroni is an accomplished AI Scientist with a strong background in applying machine learning, particularly graph neural networks and deep learning, to drug discovery and computational biology. She currently holds the position of Senior AI Scientist at GSK, where she focuses on leveraging AI to accelerate the development of new medicines. Prior to GSK, Victoria was a Research Scientist at BenevolentAI, contributing to their AI-driven drug discovery platform. She earned her PhD from the University of Cambridge, where her research centered on developing novel machine learning methods for biological network analysis and drug repurposing. Victoria is passionate about the intersection of artificial intelligence and life sciences, aiming to translate complex biological data into actionable insights for therapeutic innovation.

How Did Victoria Ceccaroni's Career Path Shape Their Journey?

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

Welyk - Co-founder & CEO(2024 to Present)
GLOW - Growing and Leading Opportunities for Women - Co-Founder(2023 to Present)
Deckx - Founder & CEO(2022 to 2024)
CONFASSOCIAZIONI Giovani - Vice President(2018 to 2024)
Associazione Diplomatici - Collaborator(2015 to 2019)
Leeds Entrepreneurs - Secretary(2018 to 2019)
Leeds University Trading and Investment Society - Social Secretary(2018 to 2019)
Leeds University Union Trading and Investment Society - Forex Analyst(2017 to 2018)
University of Leeds - Student Ambassador(2018 to 2019)
OKTACO - Business Development Associate(2018 to 2019)
Idressitalian - Editorial and Translation(2015 to 2019)

What Are Victoria Ceccaroni's Key Achievements?

Senior AI Scientist at GSK

Currently driving AI initiatives in drug discovery at GSK, focusing on the development and application of advanced machine learning models to identify novel therapeutic targets and accelerate preclinical research.

PhD in AI for Drug Discovery from University of Cambridge

Completed doctoral research at the University of Cambridge, specializing in graph machine learning and its applications in computational biology, particularly for drug repurposing and understanding disease mechanisms. Her work often involved developing novel algorithms for biological network analysis.

Impactful Research at BenevolentAI

As a Research Scientist at BenevolentAI, contributed to the development of their AI platform by designing and implementing machine learning models that analyze vast biomedical datasets to identify potential new drugs and therapies.

Publications and Conference Presentations

Authored and co-authored several research papers in peer-reviewed journals and presented findings at leading international conferences in the fields of artificial intelligence, machine learning, and computational biology.

What's Victoria Ceccaroni's Educational Background?

Software Development

42 - Year 2021

Change Maker

Synthesis- Entrepreneurship & Innovation Learning - Year 2024

S2022, Deckx

Hook - Year 2022

Master, Economic Security, Geopolitics and Intelligence

SIOI - Società Italiana per l'Organizzazione Internazionale - Year 2020

Bachelor of Arts - BA, Philosophy, Politics and Economics

University of Leeds - Year 2016

Scientific Lyceum , Sciences

Liceo San Giuseppe Calasanzio di Roma - Year 2011

Buying Intent Signals for Victoria Ceccaroni

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Notable news
Hiring actively
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Company Overview

Welyk
Total employees25
HeadquartersParis
Founded2022

Welyk is an AI-powered communication and collaboration platform designed to centralize information, streamline workflows, and enhance team productivity. It aims to be an intelligent hub that connects various tools and communication channels, offering features like smart search, task management, and integrated messaging to help businesses operate more efficiently.

Welyk Funding Information
Unknown - Total Funding Raised
not applicable - Most recent funding amount
not applicable - Number of funding rounds
not applicable - Latest funding round
Lead Investors:
Not publicly disclosed

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