Speakers
Meet the brilliant minds who will be sharing their expertise and insights at Py4AI.
See you in Pavia on May 10, 2025.
Ruoya Sheng
Product Manager Lead
@ByteDance​
Ruoya Sheng and Yunhao Liu will co-present Secure Mixed Reality (SecureMR), a framework designed to address privacy concerns while unlocking the potential of AI-powered mixed reality. Their talk will explore how SecureMR provides a solution by ensuring user privacy while enabling secure and efficient MR development. Both speakers will share insights from their respective technical and product perspectives, offering a comprehensive look at the future of privacy-conscious MR innovation.
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Circular Economy and Systemic Design Expert
"The services and products we use everyday have a built-in climate impact, that originates in the way we design them. Tackling the climate impacts of everything at the source has become the main challenge for our economies to future-proof them against the scarcity and abundance of natural resources and the recent unpredictability of global supply chains. AI is no different, from the use of water, to the impact of its infrastructure, from satellites to supercomputers and data centers, to the different aims AI is used for."
Valeria Zuccoli
AI Scientist
@Bettini
"As AI floods the digital landscape with content, what happens when it starts repeating itself? We will explore model collapse in image generation, revealing how previous outputs can contaminate future training and compromise the creation of diverse imagery. We will also examine the issues that lead to this degradation, and highlight the critical need to protect the evolution of visual AI models."
Daniele Zonca
Senior Principal Software Engineer
@Red Hat
"Large language models (LLMs) are increasing rapidly in size and capability, driving the need for scalable deployment solutions that effectively harness GPU (or in general AI Accelerator) resources across multi-node environments. In Red Hat we integrate multiple projects, like vLLM, KServe and Kubernetes, to enable scalable and flexible model-serving solutions across both uniform and mixed GPU setups. I will discuss real-world case studies to showcase how to overcome the challenges of LLM deployment in diverse environments."
Dana Aubakirova
Machine Learning Research Engineer @Hugging Face
"Generative AI is transforming robotics by making it more accessible, adaptable, and capable of human-like interactions. In this talk, I’ll explore how AI-driven models, such as vision-language-action models, enable robots to perform complex tasks with affordable hardware and how open collaboration through LeRobot at Hugging Face is accelerating innovation in the field."
Yunhao Liu
Software Engineer
@ByteDance​
"Currently, the latest XR devices equipped with stereo-view cameras, depth sensors and video see-through (VST) functionalities offer mixed-reality (MR) capabilities at hardware level. However, developers find it hard to develop MR applications now, because cameras or sensor data can not be easily accessed as on mobile phones due to privacy concerns. In order to overcome this limitation, we hereby present the Secure Mixed Reality framework (SecureMR), which securely protects users' privacy and yet unleashes the potential of AI powered mixed reality usage."
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Luca Arrotta
Lead AI Scientist
@Datapizza
"AI agents are redefining the way we automate business workflows, unlocking immense advantages in speed, productivity, and efficiency. However, the design of autonomous AI systems brings new challenges, from data quality and security to the reliability of modern Generative AI models. What are the patterns and best practices? How can you build modern, robust, and reliable AI agents?"
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AI Researcher
@ARGO Vision
"By moving the focus from outside observation to first-hand experiences, Egocentric Vision - AI Through the Eyes of the User - is revolutionizing AI and opening the door for hands-free technologies. This talk will outline its evolution, offering a clear snapshot of the current state of the art, the key technical challenges, and the most promising solutions. We will explore how this field bridges multiple areas - from robotics to natural language processing - and discuss its practical applications. Finally, we’ll look ahead at future directions, highlighting its potential to drive innovation across diverse sectors."
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Fanny Bouton
Quantum Lead & Product Manager @OVHcloud
Fanny Bouton is the Quantum Lead & Product Manager at OVHcloud, co-founder of France Quantum, and host of Quantum Podcasts. With over 20 years of experience in emerging technologies, she is a leading voice in innovation and the future of computing. Passionate about innovation, Fanny launched her blog and the "Fanny's Party" events in the early 2000s, bringing together tech enthusiasts and demystifying complex technological subjects. In her talk, "Why Quantum Computing When You Have AI?", she will demistify the evolving intersection of quantum computing and artificial intelligence.
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Principal AI Engineer
@Jina AI
Florian has worked as a Data, Solution, and Machine Learning Engineer at companies such as SoundCloud, Deloitte Deutschland, and Visual Meta GmbH.
In his talk on Agentic Search, he explores how search has evolved from keyword-based search systems to semantic search - and why the next major breakthroughs won't come from small tweaks to the search engines, but will come from the agentic use of such systems.
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Aladdin Persson
ML Engineer
@NaNEye
With academic experience from Stanford University and Chalmers University of Technology, he explores how large language models (LLMs) are transforming recommender systems. His talk, “How do LLMs change the recommender system landscape?” will demonstrate how they can be used to augment and improve traditional recommender systems.
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Alfredo Canziani
Assistant Professor of Computer Science
@NYU
Alfredo Canziani's research focuses on machine learning for autonomous driving, particularly in uncertainty estimation, failure detection, and long-term planning. He holds degrees in Electrical Engineering from Trieste University, Cranfield University, and a PhD from Purdue University. Outside academia, he is passionate about music, dance, and cooking, and continues to expand his free online Deep Learning and PyTorch course.
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Gabriele Venturi
Founder, CEO
@PandasAI
Gabriele is a software engineer and serial entrepreneur with experience working in startups across Europe. Having successfully built and sold multiple projects, he is always exploring new ideas and challenges in technology, innovation, marketing, and finance. Passionate about continuous learning, he brings a multidisciplinary approach to business and product development.
Raffaele Mauro
Partner
@Primo Space
Raffaele Mauro is a Partner at Primo Space, a venture capital fund focused on the space economy. He previously led Endeavor Italia and worked with United Ventures, P101, and Intesa Sanpaolo to support high-tech enterprises. Holding degrees from Harvard, Bocconi, and Singularity University, he is an author and a member of multiple global innovation networks. His talk will provide valuable insights into venture capital, frontier technologies, and the future of space entrepreneurship.
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Co-founder, Chief AI Officer
@indigo.ai
Deploying LLMs in real-world applications isn’t just about scale, it’s about efficiency and control. Enrico's talk explores token-efficient strategies to bridge the gap between research and industry, optimizing costs, latency, and reliability. From structured agent pipelines to model fine-tuning and open-source scalability, learn how to make GenAI truly production-ready.