diff --git a/content/events/pyday_bcn/pyday_bcn_2016.md b/content/events/pyday_bcn/pyday_bcn_2016.md
index e8db428d..f849854f 100644
--- a/content/events/pyday_bcn/pyday_bcn_2016.md
+++ b/content/events/pyday_bcn/pyday_bcn_2016.md
@@ -4,7 +4,7 @@ description: ""
 menu:
   main:
     parent: 'PyDay BCN'
-weight: 8
+weight: 9
 heroBackground: /images/photos/people-pyday-2016.jpg
 ---
 
diff --git a/content/events/pyday_bcn/pyday_bcn_2018.md b/content/events/pyday_bcn/pyday_bcn_2018.md
index 5b5d4e72..73fa07ae 100644
--- a/content/events/pyday_bcn/pyday_bcn_2018.md
+++ b/content/events/pyday_bcn/pyday_bcn_2018.md
@@ -4,7 +4,7 @@ description: ""
 menu:
   main:
     parent: 'PyDay BCN'
-weight: 7
+weight: 8
 heroBackground: https://images.unsplash.com/photo-1504384764586-bb4cdc1707b0?ixlib=rb-1.2.1&auto=format&fit=crop&w=1350&q=80
 ---
 
diff --git a/content/events/pyday_bcn/pyday_bcn_2019.md b/content/events/pyday_bcn/pyday_bcn_2019.md
index c21a8f52..bf024924 100644
--- a/content/events/pyday_bcn/pyday_bcn_2019.md
+++ b/content/events/pyday_bcn/pyday_bcn_2019.md
@@ -4,7 +4,7 @@ description: ""
 menu:
   main:
     parent: 'PyDay BCN'
-weight: 6
+weight: 7
 heroBackground: /images/photos/people-pyday-2019.jpg
 ---
 
diff --git a/content/events/pyday_bcn/pyday_bcn_2020.md b/content/events/pyday_bcn/pyday_bcn_2020.md
index 71706db0..3d32a45a 100644
--- a/content/events/pyday_bcn/pyday_bcn_2020.md
+++ b/content/events/pyday_bcn/pyday_bcn_2020.md
@@ -4,7 +4,7 @@ description: "The fourth edition!"
 menu:
   main:
     parent: 'PyDay BCN'
-weight: 5
+weight: 6
 aliases:
 - /pyday-bcn-2020
 heroBackground: https://images.unsplash.com/photo-1504384764586-bb4cdc1707b0?ixlib=rb-1.2.1&auto=format&fit=crop&w=1350&q=80
diff --git a/content/events/pyday_bcn/pyday_bcn_2021.md b/content/events/pyday_bcn/pyday_bcn_2021.md
index 04b5b613..fdc5c4c0 100644
--- a/content/events/pyday_bcn/pyday_bcn_2021.md
+++ b/content/events/pyday_bcn/pyday_bcn_2021.md
@@ -4,7 +4,7 @@ description: "Post-pandemic edition!"
 menu:
   main:
     parent: 'PyDay BCN'
-weight: 4
+weight: 5
 aliases:
 - /pyday-bcn-2021
 heroBackground: https://images.unsplash.com/photo-1504384764586-bb4cdc1707b0?ixlib=rb-1.2.1&auto=format&fit=crop&w=1350&q=80
diff --git a/content/events/pyday_bcn/pyday_bcn_2022.md b/content/events/pyday_bcn/pyday_bcn_2022.md
index c09711e4..74dcaa62 100644
--- a/content/events/pyday_bcn/pyday_bcn_2022.md
+++ b/content/events/pyday_bcn/pyday_bcn_2022.md
@@ -4,7 +4,7 @@ description: "For the community, by the community!"
 menu:
   main:
     parent: "PyDay BCN"
-weight: 3
+weight: 4
 aliases:
   - /pyday-bcn-2022
 heroBackground: /images/photos/canodrom.png
diff --git a/content/events/pyday_bcn/pyday_bcn_2023.md b/content/events/pyday_bcn/pyday_bcn_2023.md
index 9b80b11a..18efa9a1 100644
--- a/content/events/pyday_bcn/pyday_bcn_2023.md
+++ b/content/events/pyday_bcn/pyday_bcn_2023.md
@@ -4,7 +4,7 @@ description: "For the community, by the community!"
 menu:
   main:
     parent: "PyDay BCN"
-weight: 2
+weight: 3
 aliases:
   - /pyday-bcn-2023
 heroBackground: /images/photos/people-pyday-2019.jpg
diff --git a/content/events/pyday_bcn/pyday_bcn_2024.md b/content/events/pyday_bcn/pyday_bcn_2024.md
index f220e83e..cc902f4c 100644
--- a/content/events/pyday_bcn/pyday_bcn_2024.md
+++ b/content/events/pyday_bcn/pyday_bcn_2024.md
@@ -4,7 +4,7 @@ description: "For the community, by the community!"
 menu:
   main:
     parent: "PyDay BCN"
-weight: 1
+weight: 2
 aliases:
   - /pyday-bcn-2024
 heroBackground: /images/photos/canodrom.png
diff --git a/content/events/pyday_bcn/pyday_bcn_2025.md b/content/events/pyday_bcn/pyday_bcn_2025.md
index 7abe4921..0ff1aea3 100644
--- a/content/events/pyday_bcn/pyday_bcn_2025.md
+++ b/content/events/pyday_bcn/pyday_bcn_2025.md
@@ -27,44 +27,19 @@ free_text_sections:
 sponsors_text: "Would you like to sponsor this event? Please contact us at pyday2025@googlegroups.com<br/><br/>"
 sponsor_levels:
   - sponsors_per_line: 2
-    sponsors: [lambdaloopers, nagarro, innovamat, protopixel, pythones, isdieducation, coopdevs, rover, quside]
-    name: Silver
-  - sponsors_per_line: 3
-    sponsors: [qilimanjaro, ikigai, hpc-now, shimoku, digitalfems, innoit, business-insights, travelperk, okta, preply, qustodio, codurance, gluecharm, somenergia, izi]
-    name: Supporting
-  - sponsors_per_line: 3
-    sponsors: [pybcn, pyladiesbcn, canodrom]
+    sponsors: [pybcn, pyladiesbcn]
     name: Organizers
 
 people_sections:
-  - title: Speakers
-    id: speakers
-    levels:
-      - people_per_line: 4
-        people:
-            - jimena-escobar
-            - kemalcan-bora
-            - xiang-xu
-            - dave-pitts
-            - paula-bassaganas
-            - raul-cumplido
-            - marc-ramirez
-            - manuel-gijon
-            - oriol-abril-pla
-            - alex-molas
-            - marina-palma
-            - asia-noble
-            
   - title: Organizers
     id: organizers
     levels:
       - people_per_line: 4
         people:
-          - alicia-morales
-          - david
-          - ferran-jovell
-          - lpmayos
-          - jose-riera
+          - sergi-ramirez
+          - toni-espadas
+          - jordi-bosch
+          - daniel-mesejo
           
 
 previous_editions:
@@ -85,9 +60,8 @@ previous_editions:
   - name: PyDay BCN 2016
     url: /events/pyday_bcn/pyday_bcn_2016/
 
-<!--
 spansDuration: 15
-numTracks: 4
+numTracks: 3
 eventTimes:
   [
     9:00,
@@ -127,408 +101,248 @@ eventTimes:
     17:30,
     17:45,
   ]
-legend: '<i class="fas fa-laptop"></i> Workshop &nbsp;&nbsp;&nbsp; <i class="fas fa-comment"></i> Talk &nbsp;&nbsp; | &nbsp;&nbsp; <i class="fas fa-circle green"></i> <i class=\"fas fa-circle green\"></i> &nbsp;&nbsp;&nbsp; <i class="fas fa-circle yellow"></i> Intermediate &nbsp;&nbsp;&nbsp; <i class="fas fa-circle red"></i> Advanced'
+legend: '<i class="fas fa-laptop"></i> Workshop &nbsp;&nbsp;&nbsp; <i class="fas fa-comment"></i> Talk &nbsp;&nbsp; | &nbsp;&nbsp; <i class="fas fa-circle green"></i> Beginner &nbsp;&nbsp;&nbsp; <i class="fas fa-circle yellow"></i> Intermediate &nbsp;&nbsp;&nbsp; <i class="fas fa-circle red"></i> Advanced'
 events:
   - start_time_slot: 9:00
     end_time_slot: 9:15
-    track_length: 4
+    track_length: 3
     color: purple
     title: "Registration & Welcome"
-    speaker: "PyDay BCN 2024 Organizing Committee"
+    speaker: "PyDay BCN 2025 Organising Committee"
     type: group
-    location: "Sala d'actes Ada Lovelace"
+    location: TBD
     class: middle
-  - speaker: "Xiang Xu"
-    title: "Unboxing Machine Learning Models: Predicting with Numpy After Model Training"
-    description: "In this hands-on workshop, we’ll bridge the gap between high-level machine learning libraries (like Scikit-learn and Keras) and the core mathematical principles driving their predictions. Participants will firstly train regression models using machine learning methods like Kernel Ridge Regression (KRR) and Deep Neural Networks (DNNs), save the trained model parameters, and then use only Numpy to replicate the prediction process."
-    start_time_slot: 9:30
-    end_time_slot: 10:45
-    track_length: 1
-    color: red
-    type: workshop
-    language: English
-    python_level: "<i class=\"fas fa-circle yellow\"></i>"
-    topic_level: "<i class=\"fas fa-circle yellow\"></i>"
-    requirements: "numpy, scikit-learn, and keras installed"
-    topic: "Data science, ML"
-    location: "Sala d'actes Ada Lovelace"
+
   - speaker: ""
-    title: ""
+    title: "TBD"
     description: ""
     start_time_slot: 9:30
     end_time_slot: 10:45
     track_length: 1
-    color: grey
+    color: red
     type: workshop
-    language: 
+    language: ""  
     python_level: ""
     topic_level: ""
     requirements: ""
     topic: ""
     location:
   - speaker: ""
-    title: ""
+    title: "TBD"
     description: ""
     start_time_slot: 9:30
     end_time_slot: 10:45
     track_length: 1
-    color: grey
+    color: yellow
     type: workshop
-    language: 
+    language: ""  
     python_level: ""
     topic_level: ""
     requirements: ""
     topic: ""
     location:
-  - speaker: "Paula Bassagañas Òdena"
-    title: "Discovering ETL Testing: Essential for Your AI Solutions"
-    description: "High-quality data is the foundation of effective AI, and rigorous ETL testing ensures your AI models are built on solid ground. ETL (Extract, Transform, Load) processes are vital for extracting, transforming, and loading data into systems for analysis, and well-tested ETLs are crucial for making reliable, data-driven decisions and successful AI implementations."
+  - speaker: ""
+    title: "TBD"
+    description: ""
     start_time_slot: 9:30
     end_time_slot: 10:45
     track_length: 1
-    color: yellow
+    color: blue
     type: workshop
-    language: "English"
-    python_level: "<i class=\"fas fa-circle green\"></i>"
-    topic_level: "<i class=\"fas fa-circle green\"></i>"
-    topic: "Testing"
-    location: "Sala Margarita Salas"
-    requirements: "A Github account"
+    language: ""
+    python_level: ""
+    topic_level: ""
+    topic: ""
+    location: 
+    requirements: ""
+
   - start_time_slot: 11:00
-    end_time_slot: 11:00
-    track_length: 4
-    color: orange
-    title: "Coffee break"
-    type: coffee
-    location: "Grades"
-    class: middle
-  - start_time_slot: 11:15
     end_time_slot: 11:15
-    track_length: 4
+    track_length: 3
     color: purple
-    title: "Lightning talks & coffee"
-    type: talk
-    location: "Aula Hedy Lamarr"
+    title: "Coffee break"
+    type: coffee
+    location: Claustre
     class: middle
-    description: "
-<h2>Lightning talks</h2>
 
-<b>IZI Record, revolutionizing the camera app</b></br>
-<i>Ferran Jovell </i>
-<p><q>What we do at izi? How do we generate videos from different sources? How does it all work?!</q></p>
-
-<b>A solution to store, catalog and visualize images using Django and Django Rest Framework. </b></br>
-<i>Josep Sitjar Suñer</i>
-<p><q>KeepYourPhoto (https://keepyourphoto.com) is a personal project developed with Django (Python) on the backend and Vue.js on the frontend, created in my free time to store, catalog and share photos. 
-<br><br>
-During the last 5 years, since my daughter was born, our family has been accumulating gigabytes of images. Especially  when she started kindergarten, the amount of images increased exponentially, as we’ve received a catalog of hundred of images for each activity they did. And of course, we want to keep all them as a treasure. 
-<br><br>
-First, we exhausted the available free space of providers like Google Drive or Dropbox. Then we start paying some basic plans. But in order to keep control of all these  images, and implement custom functions to catalog and to share them with other members of the family, I decided to create my own solution. 
-<br><br>
-I’ve developed a web application, with Django on the backend. The images are stored on AWS S3, and served with Cloudfront to increase the speed and security of access to them. Django-storages has been a good ally to implement that.   
-<br>
-In order to create the API, I’ve been using the Django Rest Framework, and as I work in the geospatial sector (as web map developer) it was mandatory to geolocate all the images with coordinates in their metadata. In that sense, I’ve been using GeoDjango. 
-<br><br>
-The platform is not completely finished, as I try to implement new functionalities in my free time. But It’s working as expected. It’s possible to create albums, massively upload images to them, visualize the images through a gallery carousel, delete albums and images, and visualize over a map the photos with coordinates on their  metadata. 
-<br><br>
-I’ve received interest from other people, and now I’m trying to make it available to them. The self- registry is working, but it is not yet a payment solution to afford the storage costs at AWS. 
-<br><br>
-During the talk, my idea is to present the tool and the technological solutions to implement it.</q></p>
-"
-
-  - speaker: "Marina Palma"
-    title: "Image Generation with AI (GANs and Diffusion Techniques)"
-    description: "This workshop explores the techniques of AI-driven image generation, focusing on two powerful models: Generative Adversarial Networks (GANs) and Diffusion Models. Participants will learn the fundamental principles, practical applications, and differences between these approaches. Through hands-on exercises, attendees will build three types of GANs, progressing from basic to more advanced models, for generating custom synthetic images."
+  - speaker: ""
+    title: "TBD"
+    description: ""
     start_time_slot: 11:30
     end_time_slot: 12:45
     track_length: 1
-    color: red
+    color: blue
     type: workshop
-    language: "Spanish"
-    python_level: "<i class=\"fas fa-circle green\"></i>"
-    topic_level: "<i class=\"fas fa-circle green\"></i>"
-    requirements: "torch==2.0.1 torchvision==0.15.2 matplotlib==3.7.1"
-    topic: "Artificial Intelligence"
-    location: "Sala d'actes Ada Lovelace"
-  - speaker: "Oriol Abril Pla"
-    title: "Introducció a xarray: etiqueta les teves dades n-dimensionals"
-    description: "Apren com utilitzar xarray per treballar amb arrays n-dimensionals a través d'etiquetes i indexs arbitraris.
-    Descobreix el model de dades d'xarray: DataArrays, Datasets, dimensions, coordenades, indexes.
-    Explora a través del tutorial les operacions més comunes en matrius n-dimensionals: com especificar en quines dimensions han d'operar les funcions utilitzant noms enlloc d'indexs posicionals, com definir subconjunts a través de coordenades, com combinar el metode `.query` amb filtrar multiples dimensions, com crear multiples indexs per a una mateixa dimensió, les diferencies entre operacions d'indexatge exteriors o vectoritzades, groupbys multidimensionals, i més."
+    language: ""
+    python_level: ""
+    topic_level: ""
+    requirements: ""
+    topic: ""
+    location:
+  - speaker: ""
+    title: "TBD"
+    description: ""
     start_time_slot: 11:30
     end_time_slot: 12:45
     track_length: 1
-    color: green
+    color: red
     type: workshop
-    language: "Català"
-    python_level: "<i class=\"fas fa-circle green\"></i>"
-    topic_level: "<i class=\"fas fa-circle green\"></i>"
-    requirements: "https://github.com/OriolAbril/pyday2024-xarray/blob/main/requirements.txt"
-    topic: "Data science"
-    location: "Aula Hipàtia d'Alexandria"
-  - speaker: "Alex Molas"
-    title: "Static Typing in Python"
-    description: "Since 2014, with the introduction of type hints in Python 3.5, Python has been adding support to types while still maintaining its dynamic nature. Later, in Python 3.10, pattern matching was added to Python, which provides a powerful way to match data structures based on their types and values, improving Python’s capability to work with typed data. Both type hints and pattern matching help make code more testable, predictable and robust.<br>
-    In this talk, we’ll answer the following questions: <br>
-    - **Introduction to types in Python**: what's a type? which types does python have? What do they mean?<br>
-    - **The basics of type hints**: how to define a type hint? <br>
-    - **mypy**: how to use mypy to check that your code does what you expect?<br>
-    - **Advanced type hints**: how to define complex type hints? how to define your own types? how to use generic types?<br>
-    - **Data validation**: how to use Pydantic and dataclasses for data validation?<br>
-    - **Pattern matching**: how to use pattern matching together with type hints to write cleaner and more maintainable code.<br>
-    By the end of this talk, you’ll have a clear understanding of how to use type hints effectively and why they’re a valuable tool in any Python developer’s toolkit."
+    language: ""
+    python_level: ""
+    topic_level: ""
+    requirements: ""
+    topic: ""
+    location: 
+  - speaker: ""
+    title: "TBD"
+    description: ""
     start_time_slot: 11:30
     end_time_slot: 12:45
     track_length: 1
     color: yellow
     type: workshop
-    language: "English"
-    python_level: "<i class=\"fas fa-circle green\"></i>"
-    topic_level: "<i class=\"fas fa-circle yellow\"></i>"
-    requirements: "https://github.com/alexmolas/python-static-typing/blob/main/requirements.txt"
-    topic: "Programming"
-    location: "Aula Hedy Lamarr"
-  - speaker: "Marc Ramirez Invernon"
-    title: "Building data pipelines with SQLMesh"
-    description: "In this session, participants will gain an in-depth understanding of SQLMesh’s core concepts, including its innovative approach to environments (physical and virtual layers), diverse model types, and the integration of SQL and Python models. We’ll also explore SQLMesh’s testing framework, enabling reliable data transformations through rigorous validation. Attendees will be equipped with practical knowledge of how SQLMesh can streamline data pipeline development, making it easier to manage complex transformations and collaborate across data teams."
-    start_time_slot: 11:30
-    end_time_slot: 12:45
-    track_length: 1
-    color: blue
-    type: workshop
-    language: "Spanish"
-    python_level: "<i class=\"fas fa-circle green\"></i>"
-    topic_level: "<i class=\"fas fa-circle yellow\"></i>"
-    requirements: "Git, Docker Desktop, Visual Studio Code"
-    topic: "Data engineering"
-    location: "Sala Margarita Salas"
+    language: ""
+    python_level: ""
+    topic_level: ""
+    requirements: ""
+    topic: ""
+    location: 
 
   - start_time_slot: 13:00
     end_time_slot: 13:00
-    track_length: 4
-    color: purple
+    track_length: 3
+    color: pink
     title: "Group photo"
     type: photo
-    location: Grades
+    location: Claustre
     class: middle
 
   - start_time_slot: 13:15
-    end_time_slot: 13:30
-    track_length: 4
-    color: orange
-    title: "Lunch break"
-    type: lunch
-    location: Grades
-    class: middle
-
-  - start_time_slot: 13:45
     end_time_slot: 13:45
-    track_length: 4
+    track_length: 3
     color: purple
-    title: "Lightning talks"
-    type: talk
-    location: Aula Hedy Lamarr
+    title: "Lunch break"
+    type: lunch
+    location: Claustre
     class: middle
-    description: "
-<h2>Lightning talks</h2>
-
-<b>Leveraging Python in AWS for Smarter Stock Investment Strategies</b></br>
-<i>Przemyslaw Mikulski</i>
-<p><q>In this lightning talk, I’ll demonstrate how Python can be a powerful ally for retail investors seeking to optimize their stock investments. We’ll explore, in just five minutes, how to use Python libraries to solve common challenges faced by investors: data acquisition, analysis, and automation using AWS.</q></p>
 
-<b>La Rosalía Unveiled: Decoding Her Lyrics with AI</b></br>
-<i>Olga Ss</i>
-<p><q>We'll dive into the lyrics of urban singer Rosalía through the lens of Artificial Intelligence, specifically using NLP techniques.</q></p>
-"
-
-  - speaker: "Kemalcan Bora"
-    title: "A kingdom above the clouds: How far can you go on AWS for $1 a month?"
-    description: "Let's discover how to create a fully functional serverless application that costs less than your morning coffee!
-    We'll build Cloud Kingdom, a cool document processing app that uses AWS Lambda, S3, SQS, and SNS, topped with AI capabilities from Claude. You'll learn how to upload documents, generate automatic summaries, and notify users, all while keeping your wallet happy."
+  - speaker: ""
+    title: "TBD"
+    description: ""
     start_time_slot: 14:00
     end_time_slot: 15:15
     track_length: 1
     color: yellow
     type: workshop
-    language: "English"
-    python_level: "<i class=\"fas fa-circle red\"></i>"
-    topic_level: "<i class=\"fas fa-circle red\"></i>"
-    topic: "Serverless development"
-    location: "Sala d'actes Ada Lovelace"
-    requirements: "AWS Account"
+    language: ""
+    python_level: ""
+    topic_level: ""
+    topic: ""
+    location: 
+    requirements: ""
   - speaker: ""
-    title: ""
+    title: "TBD"
     description: ""
     start_time_slot: 14:00
     end_time_slot: 15:15
     track_length: 1
-    color: grey
+    color: blue
     type: workshop
     language: ""
     python_level: ""
     topic_level: ""
-    requirements: ""
     topic: ""
-    location: ""
-  - speaker: "Raúl Cumplido"
-    title: "A deep dive into the Arrow Columnar format with pyarrow and nanoarrow"
-    description: "Apache Arrow has become a de-facto standard for efficient in-memory columnar data representation. You might have heard about Arrow or using Arrow, but do you understand the format and why it’s so useful? This workshop will dive deep into the details of the Arrow columnar format, the different types and buffer layouts, and explore those details interactively using the pyarrow and nanoarrow libraries."
+    requirements: ""
+    location: 
+  - speaker: ""
+    title: "TBD"
+    description: ""
     start_time_slot: 14:00
     end_time_slot: 15:15
     track_length: 1
-    color: blue
+    color: red
     type: workshop
-    language: "English"
-    python_level: "<i class=\"fas fa-circle yellow\"></i>"
-    topic_level: "<i class=\"fas fa-circle yellow\"></i>"
-    topic: "Apache Arrow, Data Science"
-    requirements: "You will be able to find both the requirements and the Notebooks on the following repository: https://github.com/raulcd/2024-pyday-bcn-arrow-workshop"
-    location: "Sala Margarita Salas"
+    language: ""
+    python_level: ""
+    topic_level: ""
+    requirements: ""
+    topic: ""
+    location: 
 
   - start_time_slot: 15:30
-    end_time_slot: 15:30
-    track_length: 4
-    color: orange
-    title: "Coffee break"
-    type: coffee
-    location: Grades
-    class: middle
-
-  - start_time_slot: 15:45
     end_time_slot: 15:45
-    track_length: 4
+    track_length: 3
     color: purple
-    title: "Lightning talks"
-    type: talk
-    location: Aula Hedy Lamarr
+    title: "Coffee break"
+    type: coffee
+    location: Claustre
     class: middle
-    description: "
-<h2>Lightning talks</h2>
-
-<b>Polars: Procesando datos a la velocidad de la luz con recursos espartanos</b></br>
-<i>Fernando Aparicio</i>
-<p><q>Pandas y Spark son las herramientas más conocidas para gestionar nuestros sets de datos, pero hay un jugador nuevo que quiere cambiar las reglas.Polars está pensado para el rendimiento y la resiliencia en entornos con pocos recursos. Cada megabyte y cada segundo cuenta. Os explicaré qué lo hace diferente al resto y qué es capaz de hacer.</q></p>
-
-<b>Evita bugs amb Pre-Commit</b></br>
-<i>Carles Julià</i>
-<p><q>How we improve code quality in our company for Python: pre-commit, ruff-format, ruff, mypy, etc</q></p>
-"
 
-  - speaker: "Manuel Gijón"
-    title: "Automate end to end MLflow with Kestra and MLFlow"
-    description: "During this session we are going to create a whole ML pipeline, from gathering and prepare the data to train different models and perform inference. We will use a Kaggle competition as our use case. We will learn the basics of Kestra, an orchestration platform, and MLFlow, a tool for keeping track of all processes relative to the full lifecycle for machine learning projects. We are going to use these tools to download a dataset from Kaggle, analyse it, process it, train different models by using different algorithms, perform inference on submission samples, and automatically upload the results back to Kaggle."
-    start_time_slot: 16:00
-    end_time_slot: 17:15
-    track_length: 1
-    color: blue
-    type: workshop
-    language: "English"
-    python_level: "<i class=\"fas fa-circle green\"></i>"
-    topic_level: "<i class=\"fas fa-circle green\"></i>"
-    topic: "Data engineering"
-    location: "Sala d'actes Ada Lovelace"
-    requirements: "Docker, Conda"
-  - speaker: "Dave Pitts"
-    title: "Open Source Databases Python Devs"
-    description: "Are you interested in exploring open-source databases? Maybe you have experience with MySQL or PostgreSQL? Perhaps you are unsure which one to pick for your next project, then this workshop is for you. Both are highly successful open-source projects, with many similarities but also some notable differences. I'll also touch on some techniques for optimizing database queries."
+  - speaker: ""
+    title: "TBD"
+    description: ""
     start_time_slot: 16:00
     end_time_slot: 17:15
     track_length: 1
-    color: yellow
+    color: red
     type: workshop
-    language: "English"
-    python_level: "<i class=\"fas fa-circle yellow\"></i>"
-    topic_level: "<i class=\"fas fa-circle green\"></i>"
-    requirements: "Postgres and MySQL installed locally or via Docker"
-    topic: "Databases"
-    location: "Aula Hipàtia d'Alexandria"
-  - speaker: "Jimena"
-    title: "L'Embolic: Videojuegos hechos en el frontend por un lenguaje de backend"
-    description: "¿Te gustan los videojuegos? Entonces, seguro sabes que, desde hace años, los juegos diseñados para ejecutarse en el navegador son bastante populares, tanto por la facilidad de desarrollo como por su versatilidad, al poder jugarlos independientemente del sistema operativo.
-    ¿Y si te digo que ya no es necesario dominar todos los entresijos del desarrollo frontend para poder crearlos? Hoy en día, podrías programarlos con tus conocimientos de Python.
-    PyScript es un framework que permite crear aplicaciones que se ejecutan en el navegador y, con un poco de práctica, ¡incluso podemos desarrollar juegos! Pásate por este taller y te enseñaré cómo hacerlo."
+    language: ""
+    python_level: ""
+    topic_level: ""
+    requirements: ""
+    topic: ""
+    location: 
+
+  - speaker: ""
+    title: "TBD"
+    description: ""
     start_time_slot: 16:00
     end_time_slot: 17:15
     track_length: 1
     color: yellow
     type: workshop
-    language: "Spanish"
-    python_level: "<i class=\"fas fa-circle yellow\"></i>"
-    topic_level: "<i class=\"fas fa-circle green\"></i>"
-    topic: "Web development, Videogames"
-    location: "Aula Hedy Lamarr"
-  - speaker: "Asia Noble"
-    title: "Predict gender equality with your own Machine Learning model"
-    description: "In this session, you will use Python and Pandas to analyze how gender equality (or inequality) reveals itself through data.<br>
-    What you’ll learn:<br>
-    <br>✅ The logic and foundations behind Machine Learning
-    <br>✅ The different use cases of Machine Learning
-    <br>✅ How to predict the gender pay gap"
+    language: ""
+    python_level: ""
+    topic_level: ""
+    topic: ""
+    location: 
+    requirements: ""
+
+  - speaker: ""
+    title: "TBD"
+    description: ""
     start_time_slot: 16:00
     end_time_slot: 17:15
     track_length: 1
-    color: red
+    color: blue
     type: workshop
-    language: "English"
-    python_level: "<i class=\"fas fa-circle green\"></i>"
-    topic_level: "<i class=\"fas fa-circle green\"></i>"
-    topic: "Data science"
-    location: "Sala Margarita Salas"
-    requirements: "Data Science techstack: PowerBI, Python, Scikit Learn, Tensorflow. Background n the creative tech industry, management, consulting, and operations."
-  - start_time_slot: 17:30
-    end_time_slot: 17:30
-    track_length: 4
-    color: purple
-    title: "Lightning talks"
-    type: talk
-    location: Sala d'actes Ada Lovelace
-    class: middle
-    description: "
-<h2>Lightning talks</h2>
-
-<b>La iniciativa Scientific Python</b></br>
-<i>Oriol Abril Pla</i>
-<p><q>Fa uns anys es va engegar la iniciativa Scientific Python, amb l'objectiu d'enfortir la col·laboració entre llibreries de Python en el camp de la computació científica. En els 5 minuts intentaré explicar què és i algunes de les seves iniciatives principals, que van des de gestió de dependències a consells d'accessibilitat passant per traduccions, 'nightly builds' o governança.</q></p>
-
-<b>DrugScope: a ML-based platform for drug discovery</b></br>
-<i>Verónica Larroy</i>
-<p><q>DrugScope is a machine learning-powered tool designed to predict the binding affinity of small molecules to specific proteins, aiming to accelerate drug discovery and reduce costs. Using Graph Neural Networks (GNNs), the project models molecular structures as graphs, with atoms as nodes and bonds as edges. A public dataset from Leash Biosciences, containing around 300 million molecules and their interactions with three key proteins (HSA, BRD4, and SEH), was used for model training.
-<br><br>
-The project involved developing three separate GNN models, one for each protein, to capture the unique molecular interactions relevant to each target. Features for atoms and bonds were extracted using RDKit, and the data was prepared for training by converting these features into graph structures. The models were deployed using FastAPI, allowing researchers to input molecule data and receive predictions on binding affinity, potentially helping speed up the early stages of drug development.</q></p>
-
-<b>Can LLMs Power Product Recommendations?</b></br>
-<i>Babaniyi Olaniyi</i>
-<p><q>I will discuss the use of large language models (LLMs) for product recommendation systems, leveraging their natural language understanding capabilities to predict items a user might purchase given their historical product reviews and purchases.</q></p>
-
-<b>Pixel2Mechanics: Automated Biomechanical Simulations of High-Resolution Intervertebral Discs from Anisotropic MRIs</b></br>
-<i>Sai Natarajan</i>
-<p><q>This study presents Pixel2Mechanics, an automated pipeline for generating patient-specific biomechanical finite element (FE) models of lumbar intervertebral discs (IVD) from clinical MRI data. It utilizes a deep learning framework to create high-resolution meshes of the Annulus Fibrosus (AF) and Nucleus Pulposus (NP) across L1-L2 to L4-L5. The pipeline features a novel optimization method based on differentiable rendering and a Bayesian Coherent Point Drift++ morphing algorithm for volumetric FE meshes that maintain tissue topology. Load simulations validate the models against manual segmentation, demonstrating potential for clinical integration in diagnosing and treating IVD degeneration.</q></p>
-"
+    language: ""
+    python_level: ""
+    topic_level: ""
+    topic: ""
+    location: 
 
-  - start_time_slot: 17:45
+  - start_time_slot: 17:30
     end_time_slot: 17:45
-    track_length: 4
+    track_length: 3
     color: purple
-    title: "Closing session & Kahoot"
+    title: "Lightning talks + closing session & Kahoot"
     description: ""
-    type: group
-    location: Sala d'actes Ada Lovelace
+    type: talk
+    location: TBD
     class: middle
 ---
 
--->
 
 ## About PyDay BCN 2025
 
 We are excited to announce the **9th edition** of PyDay in Barcelona!
 
-PyDay is an event packed with FREE **python-related workshops** and activities for the Python community. It is organized once per year. Over the <a href="#previous_editions_section">last seven editions</a>, PyDay has become a fantastic opportunity to share our love for Python and engage users, companies, and newcomers!
+PyDay is an event packed with FREE **Python-related workshops** and activities for the Python community. It is organized once per year. Over the <a href="#previous_editions_section">last eight editions</a>, PyDay has become a fantastic opportunity to share our love for Python and engage users, companies, and newcomers!
 
 #### When and where
 
-<!--
 It is scheduled for **Saturday 29th November** at <a href="https://maps.app.goo.gl/Uxiao2Dr7uio9o3v9" target="_blank">Canòdrom</a>, from 9:00 a.m. to 18:00 p.m. CET, approximately.
--->
 
 #### A full day of in-person, hands-on workshops
 
diff --git a/content/people/daniel-mesejo.md b/content/people/daniel-mesejo.md
index ae6a88c7..ced632ff 100644
--- a/content/people/daniel-mesejo.md
+++ b/content/people/daniel-mesejo.md
@@ -2,10 +2,10 @@
 id: daniel-mesejo
 name: "Daniel Mesejo Leon"
 
-photo: daniel_mesejo.jpeg
+photo: dani-mesejo.jpeg
 
 pybcn_position: "PyBCN Secretary"
 
 ---
 
-Llicenciat en Ciències de la Computació per la Universitat de l'Havana. Tinc un màster en Informàtica per la Pontifícia Universitat Catòlica de Rio de Janeiro. He treballat en startups i scale-ups al Brasil, Alemanya i els Estats Units, principalment desenvolupant programari amb Python i Java. Actualment treballo a xorq labs com a enginyer fundador. Sóc un entusiasta del codi obert i he contribuït a projectes com ara dask, xarray, geopandas, ibis i els datafusion-python bindings. M'encanta compartir coneixement. He fet xerrades a PyDay Barcelona, PyCon Italia i PyCon Portugal (per impartir).
\ No newline at end of file
+Llicenciat en Ciències de la Computació per la Universitat de l'Havana. Tinc un màster en Informàtica per la Pontifícia Universitat Catòlica de Rio de Janeiro. He treballat en startups i scale-ups al Brasil, Alemanya i els Estats Units, principalment desenvolupant programari amb Python i Java. Actualment treballo a xorq labs com a enginyer fundador. Sóc un entusiasta del codi obert i he contribuït a projectes com ara dask, xarray, geopandas, ibis i els datafusion-python bindings. M'encanta compartir coneixement. He fet xerrades a PyDay Barcelona, PyCon Italia i PyCon Portugal.
\ No newline at end of file
diff --git a/content/people/sergi-ramirez.md b/content/people/sergi-ramirez.md
index 2c4cedf4..b7be692c 100644
--- a/content/people/sergi-ramirez.md
+++ b/content/people/sergi-ramirez.md
@@ -2,7 +2,7 @@
 id: sergi-ramirez
 name: "Sergi Ramírez"
 
-photo: sergi_ramirez.jpeg
+photo: sergi-ramirez.jpeg
 
 pybcn_position: "Board member of Events"
 
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