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What is EEML Hacathon?
What is EEML Hacathon?
The EEML Hacathon is a two-day satellite event of the Eastern European Machine Learning (EEML) Summer School, designed to bring together students, researchers, engineers, and professionals interested in applying modern AI-assisted software development to real-world challenges.
As an annual in-person event, the hackathon provides participants with the opportunity to leverage state-of-the-art AI code generation tools to develop innovative solutions to domain-specific problems across a wide range of disciplines. Whether participants come from computer science, engineering, natural sciences, healthcare, business, or other fields, the focus is on rapid prototyping, collaboration, and translating ideas into working solutions.
In addition to the hackathon itself, the event features invited talks and technical sessions delivered by experienced engineers and AI practitioners, offering participants valuable insights into the latest developments in AI-powered software engineering and practical workflows. Teams will present their solutions at the end of the event, with awards presented to the most innovative and impactful projects.
As the inaugural edition, the EEML Hackathon establishes the foundation for what is intended to become an annual recurring event within the EEML community, fostering interdisciplinary collaboration, innovation, and hands-on experience with the next generation of AI development tools.
Who we are?
Who we are?
Viorica Patraucean is a Research Scientist at Google DeepMind in London, working mainly on ML models for perception and their evaluation. She did her undergrad in computer science and engineering at Military Technical Academy in Bucharest, followed by Master's and Ph.D. at Institut National Polytechnique de Toulouse. She then worked as research associate at Ecole Polytechnique Paris and University of Cambridge, focusing on analysis of 3D shapes and videos.
Razvan Pascanu is a Research Scientist at Google DeepMind in London and Affiliate Member at MILA. He obtained his bachelor and master degree in Germany, at Jacobs University, and the Ph.D. at Université de Montreal, working with Yoshua Bengio on optimization, recurrent models, and deep learning in general. His interests range from topics like optimization, neural networks to deep reinforcement learning, continual learning and structured neural networks models.
Why are we organising EEML Hackathon?
Why are we organising EEML Hackathon?
Recent advances in AI-powered software development have fundamentally changed how people design, prototype, and implement solutions. Modern AI code generation tools enable researchers, engineers, entrepreneurs, and domain experts to transform ideas into working applications faster than ever before. However, effectively using these tools requires hands-on experience, collaboration, and an understanding of their capabilities and limitations.
The EEML Hackathon was created to complement the EEML Summer School by providing participants with an opportunity to put newly acquired knowledge into practice. Through intensive teamwork, participants tackle real-world challenges using state-of-the-art AI development tools while learning from peers, mentors, and experienced engineers.
Our goal is to foster interdisciplinary collaboration by bringing together participants from diverse academic and professional backgrounds. We believe that many of today's most impactful AI applications emerge at the intersection of different fields, where domain expertise meets advances in machine learning and artificial intelligence.
By establishing the EEML Hackathon as an annual event, we aim to build a vibrant community that promotes innovation, knowledge exchange, and practical experience with modern AI technologies. We hope the hackathon will inspire participants to continue developing AI-driven solutions, encourage collaboration across disciplines, and strengthen the growing AI ecosystem in Eastern Europe and beyond.
Code of conduct
Code of conduct
The school follows the code of conduct detailed here. Everyone involved in this school is required to follow it: organisers, speakers, participants, sponsors, volunteers.
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