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Prof. Almudena Hospido (USC), Carlos Albert Salgado Lopez (Universidade de Santiago de Compostela (ES))11/06/2026, 09:00
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Glen Cowan (Royal Holloway, University of London)11/06/2026, 09:30
Statistical methods have for many years played a crucial role in fundamental research such as High Energy Physics, and in the recent Big Data era their importance has continued to increase. I will give a bird's-eye view of the most important tools used to compare theory and experiment in a way that extracts the maximum information from the hard-won data. The talk will touch on foundational...
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Dr Eddie Lee (Complexity Science Hub)11/06/2026, 10:00
What are complex systems and why do we care about them? The greatest open problems in physics are life at the mesoscale, an understanding of ourselves and the world in which we live. These include the ecosystems in which we are embedded to the higher-order complexities of global society, and such contemplation raises questions about ramifications of such a science and about the role of...
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Gregorio González Saavedra (Finsa (Financiera Maderera S.A.))11/06/2026, 11:00
Physicists are naturally equipped with a versatile toolkit for solving complex, non-linear problems. However, the connection between academic research and industrial engineering is not always explicitly highlighted. This presentation explores how FINSA (Financiera Maderera, S.A.), a relevant and well-established company in the wood manufacturing sector, translates these analytical and...
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Jacobo Padin Martinez (Fsas Technologies - a Fujitsu company)11/06/2026, 11:30
Quantum computing promises new approaches to combinatorial optimization problems that are ubiquitous in industry. In this talk, we present the RED.ES project, an initiative to apply quantum technologies across the Spanish health, energy, and telecommunications sectors, focusing on real use cases. We review the standard pipeline for tackling these problems: the QUBO formulation, its mapping to...
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Dr Ana Garbayo Peon (ITG Technology)11/06/2026, 12:00
Generating knowledge from data involves more than simply using specific tools such as statistics, machine learning, or simulation. Its true value lies in the ability to transform data into useful information: formulating relevant questions, developing models, assessing uncertainties, and making evidence-based decisions.
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Dr Javier Diaz Cortes (Inditex)11/06/2026, 12:30
Inditex’s multi-agent system is a next-generation AI platform designed to deliver smarter, faster, and more specialized support across the business. By combining multiple expert agents instead of relying on a single model, it turns every request into a more precise, scalable, and high-value interaction. I’m part of that ecosystem, orchestrating each conversation so the right capability is...
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Albert Puig Navarro (Anaxa)11/06/2026, 14:30
Anaxa is a Swiss AI consulting firm founded by scientists and engineers from CERN, EPFL, Oxford, and UNIGE. We build data pipelines and AI-powered applications operating under strict data sovereignty and privacy constraints.
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This talk presents two production cases, each illustrating a different approach to knowledge extraction: a natural language interface over athlete data that mediates... -
Maria Pereira Martinez (IGFAE)11/06/2026, 15:00
The complexity of modern High Energy Physics experiments and the large volumes of data they produce have made Machine Learning and Data Science essential tools in many areas of experimental research. In this talk, I will present some examples of ML applications in experimental HEP, covering problems ranging from data reconstruction and analysis to detector simulation and optimization, focusing...
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Antonio Torrado Gonzalez (SDG Group Iberia)11/06/2026, 15:30
The whys of a physicist in a Data & AI career. How AI is changing the game, and why, more than ever, Humans are critical for Admissible AI
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Dr Miguel Escalona-Moran11/06/2026, 16:30
"People Analytics has emerged as a pragmatic application of data science to socio-technical systems in which human behavior, incentives, and organizational structures interact in complex ways. This talk presents two applied modeling problems that illustrate both the potential and the limitations of quantitative approaches when the subjects of analysis are people rather than physical or purely...
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Luis Reyes Navarrete (Clarity AI)11/06/2026, 17:00
A PhD in physics provides a unique and powerful foundation for industrial data science, reaching far beyond technical expertise alone. The core competencies developed during fundamental research—critical thinking, self-directed learning, and a deep-seated intellectual rigor—translate directly to high-stakes environments where problems are rarely well-defined.
In the current AI landscape,...
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Irais Bautista Guzman (CESGA)11/06/2026, 17:30
High Energy Physics experiments generate increasingly large and complex datasets, ranging from detector hits and particle tracks to reconstructed particles and full collision events. In the current NISQ era, quantum computing is not yet expected to outperform classical approaches for most practical applications; however, it offers novel methods for representing and processing high-dimensional...
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Marc Grabalosa Gandara (Novartis)11/06/2026, 18:00
" Artificial intelligence is transforming the role of Finance from a function focused on reporting, planning cycles, and negotiation-heavy processes into a strategic partner capable of generating faster, more objective, and more actionable business insights.
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This session explores how AI can be applied to reimagine business finance, using practical examples from digital finance transformation... -
Dr Sara Sellam (Mestrelab)12/06/2026, 09:00
This talk presents my transition from particle physics (LHCb at CERN) to software development at Mestrelab Research. I will briefly introduce the mass spectrometry workflow and the role of software in data analysis, as well as Mestrelab’s products. I will also share what my work as a developer looks like in practice, including agile sprints and day‑to‑day tasks. Finally, I reflect on how...
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Diego Beltran Fernandez Prada (Bahia Software)12/06/2026, 09:30
Quantum computing has the potential to improve machine learning approaches and unlock new solutions that go beyond the capabilities of classical ML systems. However, fully leveraging this potential requires a clear understanding of the complexities of these models, as well as the adaptation of software so that it can be natively integrated into HPC centers.
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16. PLEXUS TECHNOLOGIES: Fundamental science applied to business: Driving innovation in IT companiesYago Gonzalez Rozas (Plexus Technologies)12/06/2026, 10:00
In this talk, we will explore how fundamental science—particularly mathematics and physics—has shaped the evolution of the IT industry, from the early days of computing to today's advances in Data, Artificial Intelligence, and Quantum Technologies. Through historical examples and current industry developments, we will examine the connections between fundamental research and business...
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Dr Marta Reina (IGFAE)12/06/2026, 10:30
Astrophysical phenomena are rich in information, and increasingly advanced statistical methods are required to extract the relevant data from the noise. The area of Theoretical Astrophysics and Cosmology at IGFAE has a leader contribution in the main observatories across the world, and is actively developing and applying data science techniques in a variety of contexts. In this talk I will...
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Dr Ruben Ferreiroa Garcia (Navantia)12/06/2026, 11:30
" This presentation addresses how Data Science and Artificial Intelligence are transforming the naval industry, using the development of Digital Twins as the connecting thread and enabling infrastructure. Real-world cases developed at Navantia will be presented, connecting them to the mathematical and statistical foundations of Data Science. The topics covered will be:
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Dr Miguel Ferreira Cao (Gradiant)12/06/2026, 12:00
Quantum sensing exploits quantum systems to measure physical signals with exceptional sensitivity, often producing complex and noise-corrupted datasets in which the quantities of interest must be inferred from subtle changes in quantum optical spectra. Understanding and modelling light–matter interactions through a combination of computationally-expensive physics-based simulations and...
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Miquel Trias Cornellana (Google)12/06/2026, 12:30
This presentation explores the non-traditional career paths available to Physics PhDs in the corporate world, specifically focusing on the transition into Google Sales. Drawing from the principle that one should maximize career happiness, the speaker details his personal journey from academic research to roles at Google as an Analytical Consultant and, later, an Account Executive.
The...
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Pablo Alcain12/06/2026, 13:00
We will discuss the challenges of applying statistics concepts in the software development industry, connecting them to science and reports from other disciplines. Using real-life examples, we will analyze the statistician's role as a product owner, as a service provider and as a "pure stats developer." We will focus on when the data scientist should adopt each role to achieve a fruitful and...
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